Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/07/2026
Full time
Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
09/07/2026
Full time
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
09/07/2026
Full time
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Job DescriptionJob Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit About the Role We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives. In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows. This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions. What You'll Work On Technical Leadership & Architecture Lead the design of next-generation recommendation system architectures at scale. Drive best practices for model lifecycle management, experimentation, and system reliability. Partner with product, infra, and data teams to align technical strategy with business goals. Advanced Recommendation & AI Systems Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization. Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling. Evaluate emerging AI technologies and guide their adoption into production systems. AI-Native Engineering Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis. Help establish standards and shared tooling for AI-driven engineering. 0 1 Innovation & Scaling Lead 0-1 AI initiatives, from ideation and technical validation to production rollout and scaling. Ensure successful prototypes evolve into maintainable, scalable platforms. What We're Looking For Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration. Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows. Benefits We offer a competitive benefits package: Health, dental, and vision care for you and your family Top-tier 401(K) plan with company matching Paid time off and paid holidays Paid parental leave FSA and commuter benefits programs Team activity budget The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $230,000-$300,000 USD CPRA Privacy Notice for California Candidates
09/07/2026
Full time
Job DescriptionJob Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit About the Role We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives. In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows. This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions. What You'll Work On Technical Leadership & Architecture Lead the design of next-generation recommendation system architectures at scale. Drive best practices for model lifecycle management, experimentation, and system reliability. Partner with product, infra, and data teams to align technical strategy with business goals. Advanced Recommendation & AI Systems Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization. Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling. Evaluate emerging AI technologies and guide their adoption into production systems. AI-Native Engineering Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis. Help establish standards and shared tooling for AI-driven engineering. 0 1 Innovation & Scaling Lead 0-1 AI initiatives, from ideation and technical validation to production rollout and scaling. Ensure successful prototypes evolve into maintainable, scalable platforms. What We're Looking For Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration. Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows. Benefits We offer a competitive benefits package: Health, dental, and vision care for you and your family Top-tier 401(K) plan with company matching Paid time off and paid holidays Paid parental leave FSA and commuter benefits programs Team activity budget The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $230,000-$300,000 USD CPRA Privacy Notice for California Candidates
Job DescriptionJob Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit About the Role We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives. In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows. This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions. What You'll Work On Technical Leadership & Architecture Lead the design of next-generation recommendation system architectures at scale. Drive best practices for model lifecycle management, experimentation, and system reliability. Partner with product, infra, and data teams to align technical strategy with business goals. Advanced Recommendation & AI Systems Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization. Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling. Evaluate emerging AI technologies and guide their adoption into production systems. AI-Native Engineering Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis. Help establish standards and shared tooling for AI-driven engineering. 0 1 Innovation & Scaling Lead 0-1 AI initiatives, from ideation and technical validation to production rollout and scaling. Ensure successful prototypes evolve into maintainable, scalable platforms. What We're Looking For Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration. Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows. Benefits We offer a competitive benefits package: Health, dental, and vision care for you and your family Top-tier 401(K) plan with company matching Paid time off and paid holidays Paid parental leave FSA and commuter benefits programs Team activity budget The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $230,000-$300,000 USD CPRA Privacy Notice for California Candidates
09/07/2026
Full time
Job DescriptionJob Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit About the Role We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives. In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows. This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions. What You'll Work On Technical Leadership & Architecture Lead the design of next-generation recommendation system architectures at scale. Drive best practices for model lifecycle management, experimentation, and system reliability. Partner with product, infra, and data teams to align technical strategy with business goals. Advanced Recommendation & AI Systems Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization. Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling. Evaluate emerging AI technologies and guide their adoption into production systems. AI-Native Engineering Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis. Help establish standards and shared tooling for AI-driven engineering. 0 1 Innovation & Scaling Lead 0-1 AI initiatives, from ideation and technical validation to production rollout and scaling. Ensure successful prototypes evolve into maintainable, scalable platforms. What We're Looking For Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration. Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows. Benefits We offer a competitive benefits package: Health, dental, and vision care for you and your family Top-tier 401(K) plan with company matching Paid time off and paid holidays Paid parental leave FSA and commuter benefits programs Team activity budget The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $230,000-$300,000 USD CPRA Privacy Notice for California Candidates
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
09/07/2026
Full time
Job DescriptionJob Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: Self-motivated with demonstrated ability to excel under limited guidance Strong proficiency in modern C++ development, including multi-threaded applications Experience with test-driven development and CI/CD practices Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows Experience with hardware/software integration Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: Active Secret or Top Secret security clearance 5+ years of C++ programming experience with open architecture systems Experience with safety-critical software architectures Experience with real-time software development and algorithm optimization Familiarity with network protocols and debugging Familiarity with relevant open standards such as OMS/UCI and A-GRA Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/07/2026
Full time
Job DescriptionJob Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities. In this role, you'll develop and deploy advanced machine learning models that enable autonomous systems to better understand, reason about, and interact with their environment. You'll partner closely with machine learning researchers, autonomy engineers, perception engineers, and platform teams to translate emerging AI capabilities into reliable, production-ready systems for U.S. and international defense customers. This is an ideal opportunity for engineers who enjoy building state-of-the-art AI systems while solving the practical challenges of deploying them on operational autonomous platforms. What You'll Do: Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. Required Qualifications: Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience. Mastery of machine learning fundamentals. Experience training an deploying ML models for computer vision in a production setting. Strong understanding of 3D vision problems/algorithms. Experience with machine learning frameworks such as PyTorch and TensorFlow. Demonstrated expertise in deploying models using TensorRT and ONNX. Proficiency in C++ and Python. Strong analytical and problem-solving skills, with the ability to translate research into practical applications. Ability to obtain a SECRET clearance Preferred Qualifications: Experience with developing autonomous systems for defense customers. Experience with training/finetuning vision-language models, vision-language-action models, and/or world models. Contributions to open-source projects in machine learning or computer vision. Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA). Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob Description At YouVersion, we build technology that helps people around the world connect with God every day. The YouVersion Software Engineer is primarily responsible for developing software for various YouVersion projects and products, focusing on backend API development, mobile development, or web application development. This role will support the development, review, and testing of various YouVersion projects while providing ongoing technical support for software. YouVersion was created by the local church in 2007 and remains a ministry of Life.Church , our mission is simple: to lead people to become fully devoted followers of Christ. We believe technology is a powerful tool for spiritual growth, and we're committed to using it to help people engage with the Bible like never before. At our core, we know that seeking God daily has the power to transform lives. That's why everything we build is designed to encourage, challenge, and inspire people to take their next step in faith - wherever they are. What You'll Do Contribute to building and maintaining software across the YouVersion platform. Take tasks from idea to implementation with support from your team. Write clean, maintainable code and participate in code reviews. Build and run tests to ensure features are reliable and user-friendly. Debug issues and help keep systems running smoothly. Collaborate with designers, product managers, and engineers to deliver meaningful features. What It Takes to Thrive Foundational experience in software development (e.g., Dart, Swift, JavaScript, Python). Strong problem-solving skills and willingness to work through challenges. Clear communication and ability to collaborate well on a team. Initiative to take ownership of your work and follow through. Desire to learn, grow, and improve across different platforms. Alignment with Life.Church's mission and a desire to build things that help people grow in their faith. Technical Experience You don't need experience in everything below. We're looking for strength in one area and a willingness to learn. Backend / API Development Experience with Python or Golang Basic understanding of APIs and scalable systems Mobile Development Flutter/Dart, iOS (Swift), or Android experience Familiarity with mobile development and testing practices Web Development Experience with React, Node.js, or similar frameworks Working knowledge of JavaScript or TypeScript Data (Optional) Basic experience querying data (e.g., BigQuery) Familiarity with core data concepts What You Bring High School Diploma or GED. Bachelor's degree, Computer Science, or a related field. 1-3 years of related work experience. Eagerness to learn and contribute to real-world systems Motivation to build software that has meaningful impact Benefits We Offer Paid parental leave, including maternity, paternity, and adoption leave. Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members. Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health. Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment! $160 annually in development dollars for team members to invest in their professional growth. Casual dress and work environment. And much more! Our Beliefs, Culture, and Commitment to Diversity At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or is to uphold and represent the beliefs of Life.Church. Learn more about what we . While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.
09/07/2026
Full time
Job DescriptionJob Description At YouVersion, we build technology that helps people around the world connect with God every day. The YouVersion Software Engineer is primarily responsible for developing software for various YouVersion projects and products, focusing on backend API development, mobile development, or web application development. This role will support the development, review, and testing of various YouVersion projects while providing ongoing technical support for software. YouVersion was created by the local church in 2007 and remains a ministry of Life.Church , our mission is simple: to lead people to become fully devoted followers of Christ. We believe technology is a powerful tool for spiritual growth, and we're committed to using it to help people engage with the Bible like never before. At our core, we know that seeking God daily has the power to transform lives. That's why everything we build is designed to encourage, challenge, and inspire people to take their next step in faith - wherever they are. What You'll Do Contribute to building and maintaining software across the YouVersion platform. Take tasks from idea to implementation with support from your team. Write clean, maintainable code and participate in code reviews. Build and run tests to ensure features are reliable and user-friendly. Debug issues and help keep systems running smoothly. Collaborate with designers, product managers, and engineers to deliver meaningful features. What It Takes to Thrive Foundational experience in software development (e.g., Dart, Swift, JavaScript, Python). Strong problem-solving skills and willingness to work through challenges. Clear communication and ability to collaborate well on a team. Initiative to take ownership of your work and follow through. Desire to learn, grow, and improve across different platforms. Alignment with Life.Church's mission and a desire to build things that help people grow in their faith. Technical Experience You don't need experience in everything below. We're looking for strength in one area and a willingness to learn. Backend / API Development Experience with Python or Golang Basic understanding of APIs and scalable systems Mobile Development Flutter/Dart, iOS (Swift), or Android experience Familiarity with mobile development and testing practices Web Development Experience with React, Node.js, or similar frameworks Working knowledge of JavaScript or TypeScript Data (Optional) Basic experience querying data (e.g., BigQuery) Familiarity with core data concepts What You Bring High School Diploma or GED. Bachelor's degree, Computer Science, or a related field. 1-3 years of related work experience. Eagerness to learn and contribute to real-world systems Motivation to build software that has meaningful impact Benefits We Offer Paid parental leave, including maternity, paternity, and adoption leave. Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members. Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health. Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment! $160 annually in development dollars for team members to invest in their professional growth. Casual dress and work environment. And much more! Our Beliefs, Culture, and Commitment to Diversity At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or is to uphold and represent the beliefs of Life.Church. Learn more about what we . While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.
Job DescriptionJob Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife - improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn An award-winning culture working towards an important mission - Maven Clinic is a recipient of over 30 workplace and innovation awards, including: TIME 100 Most Influential Companies (2023, 2026) Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) Fast Company Most Innovative Companies (2020, 2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the Role As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Identity Platform. You will lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems that secure access across Maven's growing product and platform ecosystem. You will work closely with cross-functional teams to ensure the delivery of high-quality identity solutions that meet the needs of our customers and adhere to Maven's quality and security standards. As a Staff Software Engineer at Maven, you will: Lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems, including login flows, session management, token issuance, and access control. Propose, design, develop and implement cloud-based identity solutions that ensure the agility, flexibility, and scalability of our auth infrastructure including SSO, MFA, and federated identity integrations. Own and evolve Maven's auth platform, setting standards for how authentication and authorization are implemented consistently across services and client applications. Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles for security-sensitive systems. Collaborate with and lead cross-functional teams - including product, security, and compliance - to drive the development of new auth features and ensure they meet the needs of our customers and adhere to Maven's quality standards. Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement. Identify and evaluate emerging technologies, tools, and trends in identity and access management that can drive innovation and improve the efficiency and effectiveness of our engineering processes. We're looking for you to bring: Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Minimum of 8 years of experience in backend development, with a proven track record of building highly scalable, performant, and reliable systems - including at least 3 years focused on authentication, authorization, or identity management. Deep expertise in modern auth protocols and standards: OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, and MFA/passwordless flows. Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration. Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures. Experience building distributed systems with microservices and relational and NoSQL databases, with a strong understanding of secure data handling for PII and credentials. Familiarity with security and compliance requirements relevant to identity systems (SOC 2, HIPAA, or similar) is a plus. Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles. Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor junior engineers. The base salary range for this role is $230,000 - $270,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .
09/07/2026
Full time
Job DescriptionJob Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife - improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn An award-winning culture working towards an important mission - Maven Clinic is a recipient of over 30 workplace and innovation awards, including: TIME 100 Most Influential Companies (2023, 2026) Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) Fast Company Most Innovative Companies (2020, 2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the Role As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Identity Platform. You will lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems that secure access across Maven's growing product and platform ecosystem. You will work closely with cross-functional teams to ensure the delivery of high-quality identity solutions that meet the needs of our customers and adhere to Maven's quality and security standards. As a Staff Software Engineer at Maven, you will: Lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems, including login flows, session management, token issuance, and access control. Propose, design, develop and implement cloud-based identity solutions that ensure the agility, flexibility, and scalability of our auth infrastructure including SSO, MFA, and federated identity integrations. Own and evolve Maven's auth platform, setting standards for how authentication and authorization are implemented consistently across services and client applications. Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles for security-sensitive systems. Collaborate with and lead cross-functional teams - including product, security, and compliance - to drive the development of new auth features and ensure they meet the needs of our customers and adhere to Maven's quality standards. Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement. Identify and evaluate emerging technologies, tools, and trends in identity and access management that can drive innovation and improve the efficiency and effectiveness of our engineering processes. We're looking for you to bring: Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Minimum of 8 years of experience in backend development, with a proven track record of building highly scalable, performant, and reliable systems - including at least 3 years focused on authentication, authorization, or identity management. Deep expertise in modern auth protocols and standards: OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, and MFA/passwordless flows. Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration. Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures. Experience building distributed systems with microservices and relational and NoSQL databases, with a strong understanding of secure data handling for PII and credentials. Familiarity with security and compliance requirements relevant to identity systems (SOC 2, HIPAA, or similar) is a plus. Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles. Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor junior engineers. The base salary range for this role is $230,000 - $270,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .
Job DescriptionJob Description At YouVersion, we build technology that helps people around the world connect with God every day. The YouVersion Software Engineer is primarily responsible for developing software for various YouVersion projects and products, focusing on backend API development, mobile development, or web application development. This role will support the development, review, and testing of various YouVersion projects while providing ongoing technical support for software. YouVersion was created by the local church in 2007 and remains a ministry of Life.Church , our mission is simple: to lead people to become fully devoted followers of Christ. We believe technology is a powerful tool for spiritual growth, and we're committed to using it to help people engage with the Bible like never before. At our core, we know that seeking God daily has the power to transform lives. That's why everything we build is designed to encourage, challenge, and inspire people to take their next step in faith - wherever they are. What You'll Do Contribute to building and maintaining software across the YouVersion platform. Take tasks from idea to implementation with support from your team. Write clean, maintainable code and participate in code reviews. Build and run tests to ensure features are reliable and user-friendly. Debug issues and help keep systems running smoothly. Collaborate with designers, product managers, and engineers to deliver meaningful features. What It Takes to Thrive Foundational experience in software development (e.g., Dart, Swift, JavaScript, Python). Strong problem-solving skills and willingness to work through challenges. Clear communication and ability to collaborate well on a team. Initiative to take ownership of your work and follow through. Desire to learn, grow, and improve across different platforms. Alignment with Life.Church's mission and a desire to build things that help people grow in their faith. Technical Experience You don't need experience in everything below. We're looking for strength in one area and a willingness to learn. Backend / API Development Experience with Python or Golang Basic understanding of APIs and scalable systems Mobile Development Flutter/Dart, iOS (Swift), or Android experience Familiarity with mobile development and testing practices Web Development Experience with React, Node.js, or similar frameworks Working knowledge of JavaScript or TypeScript Data (Optional) Basic experience querying data (e.g., BigQuery) Familiarity with core data concepts What You Bring High School Diploma or GED. Bachelor's degree, Computer Science, or a related field. 1-3 years of related work experience. Eagerness to learn and contribute to real-world systems Motivation to build software that has meaningful impact Benefits We Offer Paid parental leave, including maternity, paternity, and adoption leave. Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members. Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health. Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment! $160 annually in development dollars for team members to invest in their professional growth. Casual dress and work environment. And much more! Our Beliefs, Culture, and Commitment to Diversity At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or is to uphold and represent the beliefs of Life.Church. Learn more about what we . While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.
09/07/2026
Full time
Job DescriptionJob Description At YouVersion, we build technology that helps people around the world connect with God every day. The YouVersion Software Engineer is primarily responsible for developing software for various YouVersion projects and products, focusing on backend API development, mobile development, or web application development. This role will support the development, review, and testing of various YouVersion projects while providing ongoing technical support for software. YouVersion was created by the local church in 2007 and remains a ministry of Life.Church , our mission is simple: to lead people to become fully devoted followers of Christ. We believe technology is a powerful tool for spiritual growth, and we're committed to using it to help people engage with the Bible like never before. At our core, we know that seeking God daily has the power to transform lives. That's why everything we build is designed to encourage, challenge, and inspire people to take their next step in faith - wherever they are. What You'll Do Contribute to building and maintaining software across the YouVersion platform. Take tasks from idea to implementation with support from your team. Write clean, maintainable code and participate in code reviews. Build and run tests to ensure features are reliable and user-friendly. Debug issues and help keep systems running smoothly. Collaborate with designers, product managers, and engineers to deliver meaningful features. What It Takes to Thrive Foundational experience in software development (e.g., Dart, Swift, JavaScript, Python). Strong problem-solving skills and willingness to work through challenges. Clear communication and ability to collaborate well on a team. Initiative to take ownership of your work and follow through. Desire to learn, grow, and improve across different platforms. Alignment with Life.Church's mission and a desire to build things that help people grow in their faith. Technical Experience You don't need experience in everything below. We're looking for strength in one area and a willingness to learn. Backend / API Development Experience with Python or Golang Basic understanding of APIs and scalable systems Mobile Development Flutter/Dart, iOS (Swift), or Android experience Familiarity with mobile development and testing practices Web Development Experience with React, Node.js, or similar frameworks Working knowledge of JavaScript or TypeScript Data (Optional) Basic experience querying data (e.g., BigQuery) Familiarity with core data concepts What You Bring High School Diploma or GED. Bachelor's degree, Computer Science, or a related field. 1-3 years of related work experience. Eagerness to learn and contribute to real-world systems Motivation to build software that has meaningful impact Benefits We Offer Paid parental leave, including maternity, paternity, and adoption leave. Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members. Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health. Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment! $160 annually in development dollars for team members to invest in their professional growth. Casual dress and work environment. And much more! Our Beliefs, Culture, and Commitment to Diversity At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or is to uphold and represent the beliefs of Life.Church. Learn more about what we . While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page. All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.
Job DescriptionJob Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife - improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn An award-winning culture working towards an important mission - Maven Clinic is a recipient of over 30 workplace and innovation awards, including: TIME 100 Most Influential Companies (2023, 2026) Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) Fast Company Most Innovative Companies (2020, 2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the Role As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Identity Platform. You will lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems that secure access across Maven's growing product and platform ecosystem. You will work closely with cross-functional teams to ensure the delivery of high-quality identity solutions that meet the needs of our customers and adhere to Maven's quality and security standards. As a Staff Software Engineer at Maven, you will: Lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems, including login flows, session management, token issuance, and access control. Propose, design, develop and implement cloud-based identity solutions that ensure the agility, flexibility, and scalability of our auth infrastructure including SSO, MFA, and federated identity integrations. Own and evolve Maven's auth platform, setting standards for how authentication and authorization are implemented consistently across services and client applications. Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles for security-sensitive systems. Collaborate with and lead cross-functional teams - including product, security, and compliance - to drive the development of new auth features and ensure they meet the needs of our customers and adhere to Maven's quality standards. Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement. Identify and evaluate emerging technologies, tools, and trends in identity and access management that can drive innovation and improve the efficiency and effectiveness of our engineering processes. We're looking for you to bring: Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Minimum of 8 years of experience in backend development, with a proven track record of building highly scalable, performant, and reliable systems - including at least 3 years focused on authentication, authorization, or identity management. Deep expertise in modern auth protocols and standards: OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, and MFA/passwordless flows. Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration. Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures. Experience building distributed systems with microservices and relational and NoSQL databases, with a strong understanding of secure data handling for PII and credentials. Familiarity with security and compliance requirements relevant to identity systems (SOC 2, HIPAA, or similar) is a plus. Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles. Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor junior engineers. The base salary range for this role is $230,000 - $270,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .
09/07/2026
Full time
Job DescriptionJob Description Maven Clinic is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife - improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Through its consumer platform, Maven provides direct access to virtual care across 30+ specialties, as well as dedicated hormone and GLP-1 care programs purpose-built for women. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. Recognized for innovation and industry leadership, Maven has been named to the TIME100 Most Influential Companies, CNBC Disruptor 50, Fast Company's Most Innovative Companies, and FORTUNE Best Places to Work. Learn An award-winning culture working towards an important mission - Maven Clinic is a recipient of over 30 workplace and innovation awards, including: TIME 100 Most Influential Companies (2023, 2026) Fortune Change the World (2024) CNBC Disruptor 50 List (2022, 2023, 2024) Fortune Best Workplaces for Millennials (2024) Fortune Best Workplaces in Health Care (2024) Fast Company Most Innovative Companies (2020, 2023) Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024) About the Role As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Identity Platform. You will lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems that secure access across Maven's growing product and platform ecosystem. You will work closely with cross-functional teams to ensure the delivery of high-quality identity solutions that meet the needs of our customers and adhere to Maven's quality and security standards. As a Staff Software Engineer at Maven, you will: Lead the design, development, and maintenance of highly scalable, performant, and reliable authentication and authorization systems, including login flows, session management, token issuance, and access control. Propose, design, develop and implement cloud-based identity solutions that ensure the agility, flexibility, and scalability of our auth infrastructure including SSO, MFA, and federated identity integrations. Own and evolve Maven's auth platform, setting standards for how authentication and authorization are implemented consistently across services and client applications. Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles for security-sensitive systems. Collaborate with and lead cross-functional teams - including product, security, and compliance - to drive the development of new auth features and ensure they meet the needs of our customers and adhere to Maven's quality standards. Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement. Identify and evaluate emerging technologies, tools, and trends in identity and access management that can drive innovation and improve the efficiency and effectiveness of our engineering processes. We're looking for you to bring: Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Minimum of 8 years of experience in backend development, with a proven track record of building highly scalable, performant, and reliable systems - including at least 3 years focused on authentication, authorization, or identity management. Deep expertise in modern auth protocols and standards: OAuth 2.0, OpenID Connect (OIDC), SAML, JWT, and MFA/passwordless flows. Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration. Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures. Experience building distributed systems with microservices and relational and NoSQL databases, with a strong understanding of secure data handling for PII and credentials. Familiarity with security and compliance requirements relevant to identity systems (SOC 2, HIPAA, or similar) is a plus. Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles. Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor junior engineers. The base salary range for this role is $230,000 - $270,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics. Whole-self care through wellness partnerships Hybrid work, in office meals, and work together days 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+) Annual professional development stipend and access to a personal career coach through Maven for Mavens 401K matching for US-based employees, with immediate vesting These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits. Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
09/07/2026
Full time
Job DescriptionJob Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform - one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge - the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3-4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP). The eval system - offline gates and online detector/judge evals written onto production traces - and its growth as product teams adopt it. Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use. The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract. Clarifying, designing, and implementing compliance and legal requirements for Syndi. What We're Looking For 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes). You've built LLM-powered systems in production - an agent loop, tool-calling integration, RAG, or eval infrastructure - and have opinions from the scar tissue. You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts. You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped. Strong written communication - our operating model runs on design docs and PR review across team boundaries. Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope. Why you'll love it here: Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise. Syndio Equity. So you can share in Syndio's success Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave. Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents. Life Insurance & Disability. Syndio covers the full premium. Remote-first in US + Alberta; in Calgary, non-mandatory office available Role Progession First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams. First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off. First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off. The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. Recruiter Screen (25 min) Meet the Hiring Manager (30 min) Technical Discussion - LLMs (60 min) Take-Home Assignment THA Exercise Review (60 min) Technical Discussion - Architecture/Engineering (60 min) Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.