About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands on access to an incredible vault of data and contribute large scale recommendation systems in ways you won't find anywhere else. What you'll do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End to end hands on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or Ph.D. in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. US based applicants only Base salary range: $129,818 - $267,272 USD Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
04/03/2026
Full time
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands on access to an incredible vault of data and contribute large scale recommendation systems in ways you won't find anywhere else. What you'll do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End to end hands on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or Ph.D. in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. US based applicants only Base salary range: $129,818 - $267,272 USD Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
04/03/2026
Full time
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
04/03/2026
Full time
Company: One of our consumer AI investments is hiring an ML Infrastructure Engineer. The founding team helped build iconic consumer products at Pinterest, Lyft, Whatnot, Grubhub, and others. We led the Seed round, and the company is finalizing a Series A with another tier-1 VC. Team size: 20+ (and growing) The opportunity: You'll be an early ML Infra hire helping scale training and inference systems that directly power a consumer product. This is a hands-on role with real ownership: reliability, performance, cost, and developer velocity. What you'll do: Build and operate large-scale ML infrastructure for training and inference (GPU compute, orchestration, model serving) Own core systems for data and feature pipelines, model artifacts, experiment tracking, and evaluation Improve observability and reliability across ML and production systems (monitoring, debugging, incident response, SLAs) Drive efficiency across the stack (latency, throughput, cost, capacity planning) Partner closely with researchers/ML engineers/product engineers to unblock shipping Role (key traits): 3+ years building large-scale distributed systems infrastructure; 2+ years building modern ML systems in industry: ML training and inference systems, large-scale distributed infrastructure, GPU-backed compute, Kubernetes and cloud infrastructure, production reliability, Python + a systems language, PyTorch or TensorFlow BSCS or equivalent (MSCS preferred) Strong coding and systems fundamentals (production-grade engineering, not just prototypes) Good fit for this role if you have: Owned production ML training and/or serving infrastructure end-to-end (not just model development) Experience with distributed compute and data systems (scheduler/orchestration, storage, streaming/batch, reliability) Comfort operating systems in production: on-call mindset, instrumentation, performance tuning, cost discipline Built internal platforms that improved ML developer velocity (reusable pipelines, tooling, paved roads) Enjoyed ambiguity while moving quickly with a small team, and you like building "the system" as much as "the model" Not a good fit for this role if you're primarily: Focused on research or model architecture work and don't want to own production systems Looking for a role with minimal on-call/ops responsibilities or limited accountability for reliability Experienced only with notebooks/prototypes and not with production-grade infra and debugging Targeting more specialized scope rather than broad ownership across the ML stack About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Figma, Rubrik, Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, among others. More can be found about us here: And, as full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time only for openings within our portfolio.
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD
04/03/2026
Full time
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting edge research and development in real time and offline 2D and 3D algorithms. The successful candidate will be a hands on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production ready systems that power our next generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real time 3D mapping, pose estimation, and environmental modeling from multi modal sensor inputs (e.g., RGB D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross functional teams. Publication & IP: Maintain state of the art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. 2D/3D Fundamentals: In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to haves: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Mastery of Python for machine learning and strong proficiency in C++ for performance critical algorithm implementation. In depth knowledge of classical and modern computer vision fundamentals, including multi view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real time and batch ML systems that analyze structured and unstructured signals. Hands on experience rapidly prototyping and iterating on ML systems with changing requirements. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Base salary range for this full time position in the location of San Francisco: $218,400 - $273,000 USD
Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. 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04/03/2026
Full time
Get AI-powered advice on this job and more exclusive features. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to help lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software solutions using Appian's low-code platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, and leading/mentoring consultants through fast-paced software implementations. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our Headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. To Be Successful In This Role, You Need Passion for mentoring/developing others and experience leading small teams through post-sale software implementation Ability to work with clients to define business processes and gather functional and technical system requirements Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints) Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc) Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic Qualifications 3+ years of experience with hands-on software development or technical consulting B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree Willingness to travel; 20% to support customer engagement Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations-resulting in better growth and superior customer experiences. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionInformation Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Appian by 2x Sign in to set job alerts for "Senior Technical Consultant" roles.Remote IT Support - $70-$90k (Internal, Security) Washington, DC $70,000.00-$90,000.00 1 week ago Opportunity - Want to Join a Great Team and Make a DifferenceIT Assessor Jr.-Secret Clearance (REMOTE) Washington DC-Baltimore Area $85,000.00-$96,000.00 2 weeks ago McLean, VA $112,000.00-$197,500.00 1 week ago Bethesda, MD $80,000.00-$120,000.00 5 months ago Washington, DC $90,000.00-$180,000.00 3 weeks ago Supv IT Specialist (OPERATING SYSTEMS/CUSTOMER SUPPORT) Washington DC-Baltimore Area $155,000.00-$215,000.00 2 weeks ago Chantilly, VA $101,401.00-$114,923.00 4 days ago Washington, DC $120,000.00-$133,000.00 3 weeks ago Arlington, VA $90,000.00-$150,000.00 1 month ago Washington, DC $55,000.00-$65,000.00 2 weeks ago Oxon Hill, MD $97,000.00-$130,000.00 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select LinkedIn Profile Which office location are you applying for - NY or SF? Select Are you able to work from either our NY or SF office 5 days a week? Select Why do you want to work at Chalk? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Chalk's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example . click apply for full job details
04/03/2026
Full time
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines the performance of Rust with elegant tools that developers love to use. Leading companies depend on Chalk for a variety of use-cases including stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. About the role We are hiring experienced Frontend Software Engineers to join our team. In this role, you will be responsible for defining strong front-end architecture patterns, leading development of well abstracted reusable components, and collaborating across teams to increase developer velocity. You will excel in this role if you're an experienced engineer with deep front-end expertise who can collaborate effectively across multiple teams and functions to deliver results. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership. We work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions. We are looking for software engineers who are comfortable solving business problems across all layers of the software stack, with a specific focus on frontend engineering. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience. We need engineers who can build world-class user experiences across web and command-line surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems. What you will do Work directly with Chalk's co-founders to productionize our first iteration Write TypeScript (React), Python, Go Drive frontend architecture discussions and technical breakdowns. Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments Iterate rapidly to improve Chalk's platform in response to customer needs What we're looking for 2+ years experience of professional software engineering experience Working knowledge of computer science fundamentals. We're not looking for experience from drilling leet code - we need folks who are comfortable building and maintaining real applications You have a deep technical understanding of frontend technologies, patterns, and best practices. You have a firm understanding of backend systems which enable you to collaborate on problems that span the entire stack An eye for high-quality UX Track record of learning new concepts quickly Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes Experience implementing data infrastructure Experience working with developer tools Experience with applied machine learning or data analytics Experience with Go ️Comprehensive medical, dental, and vision insurance Retirement savings 15 company holidays each year ️15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. ️ Staying late? Dinner is on us Compensation Range: $120K - $220K Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process. Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals. The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation. Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select LinkedIn Profile Which office location are you applying for - NY or SF? Select Are you able to work from either our NY or SF office 5 days a week? Select Why do you want to work at Chalk? Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Chalk's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Select Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Voluntary Self-Identification of DisabilityForm CC-305 Page 1 of 1 OMB Control Number Expires 04/30/2026 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS) Neurodivergence, for example . click apply for full job details
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this role in Georgia is between $33.90 - $46.40/hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
04/03/2026
Full time
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this role in Georgia is between $33.90 - $46.40/hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8c2649b6564e-1699
04/03/2026
Full time
Software Imaging Intern US-CA-Irvine Job ID: 34091 Type: Full-Time # of Openings: 1 Category: Intern/Trainee CUSA Western Regional Office About the Role 2026 Canon Insights Summer Internship Canon, U. S. A., Inc. is currently hiring for our 2026 Canon Insights Internship Program. The program will be held from Monday, June 1, 2026 - Wednesday, August 5, 2026. Canon is an innovative global digital imaging leader that uses technology to dissolve the barriers we face in the connections we build, the experiences we create, and even the lives we live. We are looking for passionate and experienced students to join the Canon USA team. This is a paid summer 10-12 week internship for a robust experience based in our Irvine, CA. What You'll Do: You will have the opportunity to gain hands-on work experience by participating in significant work projects that help you learn, develop business skills, and provide a meaningful contribution to Canon's business and goals. You will be exposed to world-class teams and our business, marketing, and strategy initiatives through training, meetings, presentations, and other planned activities. You'll gain marketable skills and knowledge that you'll need in transitioning into the workforce. You'll come to the office 3 days a week and 2 days with the option to work from home (unless a specific business need arises requiring in-office attendance on other days). This position offers a hybrid work schedule on full-time (9 AM - 5 PM) schedule based on a 35-hour work week. Note that work schedules and office reporting requirements may change from time to time based on business needs. Perks & Benefits: A beautiful facility in Irvine, CA. Free coffee. "Dress for Your Day" attire program - Casual dress, including jeans is permitted! A dedicated peer buddy who will serve as a mentor during your internship experience. Learning and professional development opportunities. Opportunity to network with top-level Canon business leaders. A chance to be featured on Canon's social media sites. Swag! A Canon welcome kit and official merch you can't get anywhere else. Award-Winning Culture: Canon has a unique culture and is committed to our core values of integrity, mutual respect, fairness, and communication. Our corporate philosophy is Kyosei - which we define as "all people, regardless of race, religion, or culture, harmoniously living and working together into the future." This is reflected in our welcoming, respectful, and family-oriented atmosphere with a strong focus on diversity & inclusion, work-life balance, and community and environmental initiatives Your Impact The 2026 Canon Insights Summer Internship - Intern will be responsible for the following: This program is designed to provide undergraduate students with an opportunity to gain hands-on work experience by participating in significant work projects, training, meetings, presentations and activities. Investigate the feasibility of applying a wide variety of scientific principles and concepts to potential inventions, products and problems. Focus on creating and designing models for software solutions. Plan and execute applied research. Carry out research and development in one or more of the following areas: Computer Vision Applications 3D computer vision, Lighting condition analysis, Image and video analysis and understanding Machine learning Contribute to Canon's intellectual property portfolio Work with research team on investigations, software products, and software prototypes About You: The Skills & Expertise You Bring An enrolled undergraduate student who is currently a junior and entering their senior year as of Summer 2026, pursuing a Bachelor's degree aligned with the department of interest. A strong communicator-both written and verbal-with advanced proficiency in Google Workspace (Sheets, Docs, Slides, Chat, Calendar and Drive). Brings the ability to thrive as a collaborative team player while also working independently with confidence and enthusiasm. Undergraduate and graduate student in Computer Science, Engineering, or related field. Strong mathematical background and ability to apply it to new problems Working experience in Python, and/or Matlab Experience with libraries such as OpenCV and PyTorch The ability to work in a highly collaborative, fast moving, multi-cultural environment We are providing the anticipated rate for this role: $25.00 - $40.00 hourly. Company Overview About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at and connect with us on LinkedIn at Who We Are Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation. What We Offer Youll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits. And Even More Perks! -Employee referral bonus -Employee discounts -Dress for Your Day attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you cant get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers site , we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at Posting Tags PI8c2649b6564e-1699
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $32.90 and $45.00 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
04/03/2026
Full time
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $32.90 and $45.00 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
Thresh Consulting - Strategy in Action for the AI Era Salary: $165,000 - $195,000 + up to 25% annual bonus Location: Hybrid (NYC, Chicago or Denver preferred) ABOUT THRESH Thresh Consulting is a modern digital consulting firm built for the AI era-where strategy, execution, and craft come together to deliver real outcomes with speed. Our specialty is helping organizations design, build, and scale AI-native digital products that create exceptional customer experiences and drive measurable value. We equip clients to separate signal from noise, moving from AI experimentation to operational adoption. At Thresh, our strategy teams connect executive-level vision to actionable product growth. We help client leaders navigate ambiguity, define market opportunities, and build the business case for digital innovation. Digital & AI Strategy Lead The Digital & AI Strategy Lead is a project leader responsible for defining the 'why' and 'how' behind AI accelerated digital products and strategic business model transformation. This role operates with significant autonomy, serving as a key advisor to client leadership on proactively leveraging Generative AI, machine learning, and automation to redefine market positioning, accelerate growth projections, and shape long term digital strategy. You are accountable for translating complex data into compelling narratives and creating actionable roadmaps that drive executive alignment and measurable business value. You will look across multiple industries to find innovative solutions our clients can bring to their business. What You'll Do Shape Strategic Direction Conduct AI driven market and competitive research to identify opportunities, assess the competitive threat of new AI models, and define new value chains affecting our client's businesses Build growth models and business cases that quantify the ROI and impact of digital product investments and implications of AI to operations Create strategic roadmaps that prioritize initiatives based on business objectives, technical feasibility, and market timing always with a focus on acceleration Telco Knowledge (Preferred): Apply expertise in Telecommunications and Media sectors to guide clients through an increasingly competitive marketplace. Drive Executive Alignment Translate complex strategy into compelling narratives that influence C suite stakeholders and drive consensus across business units Create executive ready presentations and materials that distill ambiguity into clarity and confidence using the latest AI tools (Claude, Lovable, Gamma, etc.) Serve as a primary point of accountability on client engagements, accountable for strategic outcomes and vision alignment Validate Strategy Through Execution Partner with engineering and design teams to ensure strategic recommendations are technically feasible, user centered and aligned to corporate strategy Champion product acceleration and prototyping to pressure test strategic assumptions, validate core design decisions and begin testing integrations Leverage AI tools to accelerate research and synthesis, integrating AI into the research and strategy development process to accelerate delivery and enhance insight depth Lead and Collaborate Mentor junior strategists and analysts, establishing best practices for strategy development and presentation craft leveraging AI. Work across disciplines-you'll collaborate closely with product managers, designers, and engineers to ensure strategy translates to reality Experience and Skills What You Bring 4-6+ years in digital strategy, product strategy, or management consulting-ideally at a leading consulting firm, tech company or high performing startup. You understand how to manage stakeholder expectations, navigate ambiguity, and deliver quickly under pressure AI Strategy & Technical Fluency: Experience defining, leading, or contributing to AI centric product or business strategy engagements. Deep understanding of the strategic and commercial implications of Generative AI, LLMs, and emerging ML technologies on various business models Track record of leading strategic projects that resulted in real business outcomes (launched products, validated new markets, influenced investment decisions) Experience working directly with senior executives (C suite, VP level) and driving alignment in complex, political environments Exceptional storytelling and presentation skills-you can distill complexity into clarity and make compelling cases for action Proficiency with financial modeling and growth projections-comfortable building complex models from scratch Industry Expertise: Deep knowledge of Telecom industry and strategic trends preferred, knowledge of the broader TME landscape required Why Thresh Competitive compensation with high performance bonus upside Healthcare benefits and 401(k) with company matching High ownership and the opportunity to shape Thresh's growing AI and digital product strategy practice A culture built on clarity, craft, and outcomes, with a commitment to human competency amplified by AI tools Equal Opportunity Employer Qualified applicants are considered for employment, and employees are treated during employment without regard to race, color, religion, national origin, citizenship, age, sex, marital status, ancestry, physical or mental disability, veteran status or sexual orientation. Solely to help us comply with federal and state Equal Opportunity record keeping, reporting, and other legal requirements, we request that you complete this data information questionnaire. Refusal to complete this information will not subject any applicant or employee to adverse treatment. The information that you provide will be recorded and maintained in a confidential file, separate from all other records. This information will not be used in consideration for your employment.
04/03/2026
Full time
Thresh Consulting - Strategy in Action for the AI Era Salary: $165,000 - $195,000 + up to 25% annual bonus Location: Hybrid (NYC, Chicago or Denver preferred) ABOUT THRESH Thresh Consulting is a modern digital consulting firm built for the AI era-where strategy, execution, and craft come together to deliver real outcomes with speed. Our specialty is helping organizations design, build, and scale AI-native digital products that create exceptional customer experiences and drive measurable value. We equip clients to separate signal from noise, moving from AI experimentation to operational adoption. At Thresh, our strategy teams connect executive-level vision to actionable product growth. We help client leaders navigate ambiguity, define market opportunities, and build the business case for digital innovation. Digital & AI Strategy Lead The Digital & AI Strategy Lead is a project leader responsible for defining the 'why' and 'how' behind AI accelerated digital products and strategic business model transformation. This role operates with significant autonomy, serving as a key advisor to client leadership on proactively leveraging Generative AI, machine learning, and automation to redefine market positioning, accelerate growth projections, and shape long term digital strategy. You are accountable for translating complex data into compelling narratives and creating actionable roadmaps that drive executive alignment and measurable business value. You will look across multiple industries to find innovative solutions our clients can bring to their business. What You'll Do Shape Strategic Direction Conduct AI driven market and competitive research to identify opportunities, assess the competitive threat of new AI models, and define new value chains affecting our client's businesses Build growth models and business cases that quantify the ROI and impact of digital product investments and implications of AI to operations Create strategic roadmaps that prioritize initiatives based on business objectives, technical feasibility, and market timing always with a focus on acceleration Telco Knowledge (Preferred): Apply expertise in Telecommunications and Media sectors to guide clients through an increasingly competitive marketplace. Drive Executive Alignment Translate complex strategy into compelling narratives that influence C suite stakeholders and drive consensus across business units Create executive ready presentations and materials that distill ambiguity into clarity and confidence using the latest AI tools (Claude, Lovable, Gamma, etc.) Serve as a primary point of accountability on client engagements, accountable for strategic outcomes and vision alignment Validate Strategy Through Execution Partner with engineering and design teams to ensure strategic recommendations are technically feasible, user centered and aligned to corporate strategy Champion product acceleration and prototyping to pressure test strategic assumptions, validate core design decisions and begin testing integrations Leverage AI tools to accelerate research and synthesis, integrating AI into the research and strategy development process to accelerate delivery and enhance insight depth Lead and Collaborate Mentor junior strategists and analysts, establishing best practices for strategy development and presentation craft leveraging AI. Work across disciplines-you'll collaborate closely with product managers, designers, and engineers to ensure strategy translates to reality Experience and Skills What You Bring 4-6+ years in digital strategy, product strategy, or management consulting-ideally at a leading consulting firm, tech company or high performing startup. You understand how to manage stakeholder expectations, navigate ambiguity, and deliver quickly under pressure AI Strategy & Technical Fluency: Experience defining, leading, or contributing to AI centric product or business strategy engagements. Deep understanding of the strategic and commercial implications of Generative AI, LLMs, and emerging ML technologies on various business models Track record of leading strategic projects that resulted in real business outcomes (launched products, validated new markets, influenced investment decisions) Experience working directly with senior executives (C suite, VP level) and driving alignment in complex, political environments Exceptional storytelling and presentation skills-you can distill complexity into clarity and make compelling cases for action Proficiency with financial modeling and growth projections-comfortable building complex models from scratch Industry Expertise: Deep knowledge of Telecom industry and strategic trends preferred, knowledge of the broader TME landscape required Why Thresh Competitive compensation with high performance bonus upside Healthcare benefits and 401(k) with company matching High ownership and the opportunity to shape Thresh's growing AI and digital product strategy practice A culture built on clarity, craft, and outcomes, with a commitment to human competency amplified by AI tools Equal Opportunity Employer Qualified applicants are considered for employment, and employees are treated during employment without regard to race, color, religion, national origin, citizenship, age, sex, marital status, ancestry, physical or mental disability, veteran status or sexual orientation. Solely to help us comply with federal and state Equal Opportunity record keeping, reporting, and other legal requirements, we request that you complete this data information questionnaire. Refusal to complete this information will not subject any applicant or employee to adverse treatment. The information that you provide will be recorded and maintained in a confidential file, separate from all other records. This information will not be used in consideration for your employment.
About The Team The Agentic Orchestration team builds and scales the core orchestration layer that powers Zillow's AI-driven experiences. We create a platform that enables domain teams across the company to extend and enhance agentic AI capabilities. This role requires an entrepreneurial approach and a driven curiosity about the constantly evolving field of LLMs, agentic systems, and AI-powered assistants. About The Role We are seeking a collaborative, product minded backend engineer with strong Python fundamentals and a passion for building reliable, scalable systems that power AI applications. Build and maintain the orchestration platform that routes requests, manages context, and integrates tools for agentic AI experiences. Contribute to platform infrastructure that enables domain teams across the company to build on top of the orchestrator without bottlenecks. Support scaling the orchestration layer to handle significant traffic increases as AI powered experiences expand to more users. Collaborate closely with applied scientists and machine learning engineers to integrate new AI capabilities into production systems. Participate in operations and reliability efforts including incident response, performance optimization, and cost management. Apply a growth mindset and first principles to ambiguous problems to iterate on novel solutions and ways of working. This role is a Remote position. U.S. employees may live in any of the 50 states, with limited exceptions. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Who you are Experience with agentic AI frameworks (e.g., LangChain, LangGraph) or large language model integration Experience building platform infrastructure that other teams consume as a service Experience with MCP (Model Context Protocol) or similar tool integration patterns for AI systems Experience with event driven architectures and streaming platforms (e.g., Kafka) Familiarity with data platforms and observability tooling (e.g., Databricks, DataDog) Experience in a startup environment or on a small team building products from scratch Experience collaborating with science, engineering, design, and product partners in a team with a startup culture Advanced degree (M.S. or Ph.D.) or equivalent experience in Computer Science Get to know us At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together. Equal Employment Opportunity Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special requirement that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
04/02/2026
Full time
About The Team The Agentic Orchestration team builds and scales the core orchestration layer that powers Zillow's AI-driven experiences. We create a platform that enables domain teams across the company to extend and enhance agentic AI capabilities. This role requires an entrepreneurial approach and a driven curiosity about the constantly evolving field of LLMs, agentic systems, and AI-powered assistants. About The Role We are seeking a collaborative, product minded backend engineer with strong Python fundamentals and a passion for building reliable, scalable systems that power AI applications. Build and maintain the orchestration platform that routes requests, manages context, and integrates tools for agentic AI experiences. Contribute to platform infrastructure that enables domain teams across the company to build on top of the orchestrator without bottlenecks. Support scaling the orchestration layer to handle significant traffic increases as AI powered experiences expand to more users. Collaborate closely with applied scientists and machine learning engineers to integrate new AI capabilities into production systems. Participate in operations and reliability efforts including incident response, performance optimization, and cost management. Apply a growth mindset and first principles to ambiguous problems to iterate on novel solutions and ways of working. This role is a Remote position. U.S. employees may live in any of the 50 states, with limited exceptions. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Who you are Experience with agentic AI frameworks (e.g., LangChain, LangGraph) or large language model integration Experience building platform infrastructure that other teams consume as a service Experience with MCP (Model Context Protocol) or similar tool integration patterns for AI systems Experience with event driven architectures and streaming platforms (e.g., Kafka) Familiarity with data platforms and observability tooling (e.g., Databricks, DataDog) Experience in a startup environment or on a small team building products from scratch Experience collaborating with science, engineering, design, and product partners in a team with a startup culture Advanced degree (M.S. or Ph.D.) or equivalent experience in Computer Science Get to know us At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together. Equal Employment Opportunity Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special requirement that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
Overview DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Position and Location Company: DataRobot Inc. Position: Senior Execution Data Scientist Work Location: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation. 3 years of experience consulting with customers on end-to-end data science solutions. 3 years of experience building and implementing machine learning or AI models into production. Experience with each of the following: Machine learning and predictive modeling. Building and implementing predictive models, data science, and complex statistical analysis. Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries. Developing predictive models, AI algorithms, and systems to generate significant business insights. Integrating predictive models and AI algorithms into client environments. Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization. Terms of Employment Full time (40+ hours per week). Salary range: $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flexible paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. Additional Information The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other protected characteristics. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
04/02/2026
Full time
Overview DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. Position and Location Company: DataRobot Inc. Position: Senior Execution Data Scientist Work Location: 225 Franklin Street, Floor 13, Boston, MA, 02110 (Employee may telecommute from anywhere in the US) Responsibilities Develop and execute end-to-end enterprise-grade AI solutions for DataRobot customers across a variety of industries. Develop sophisticated predictive models and AI algorithms and systems that generate significant business value to DataRobot customers and integrate those models into client environments. Serve as a Data Science technical expert representing DataRobot during customer engagements. Conduct proof-of-concept and proof-of-value trials. Guide and advise clients on evaluating success criteria. Carry out AI implementation and operationalization. Train end users. Solve complex data science problems by building end-to-end AI solutions using DataRobot including problem framing, data preparation, model building, model deployment, model management, output consumption and visualization. Provide data science knowledge and expertise as a trusted advisor to clients. Work side-by-side with Sales, Account Management, Customer Success, and Field Engineering teams to help DataRobot customers achieve their goals. Employee may telecommute from anywhere in the US. Minimum Requirements Bachelor's degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology or a related technical field, and 6 years of experience as Data Scientist or related occupation; or in the alternative, Master's degree, or foreign equivalent and 3 years of experience as Data Scientist or related occupation. 3 years of experience consulting with customers on end-to-end data science solutions. 3 years of experience building and implementing machine learning or AI models into production. Experience with each of the following: Machine learning and predictive modeling. Building and implementing predictive models, data science, and complex statistical analysis. Developing and executing end-to-end enterprise-grade AI solutions across a variety of industries. Developing predictive models, AI algorithms, and systems to generate significant business insights. Integrating predictive models and AI algorithms into client environments. Building end-to-end AI solutions that include problem framing, data preparation, model building, model deployment, model management, output consumption, and visualization. Terms of Employment Full time (40+ hours per week). Salary range: $190,000-$232,750 per year. Benefits Choice of Medical plans, dental, vision, patient advocacy program, FSA, short- and long-term disability plans, Life and AD&D plans, EAP, voluntary benefits including Accident and Pet Insurance, Legal plan, flexible paid time off, quarterly reboot days and paid parental leave. To Apply Submit an application to this Senior Execution Data Scientist position through the DataRobot Career Site. Additional Information The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate EEO and Privacy DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, disability, or other protected characteristics. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data - from financial statements to health records - is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale. We've grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm). We've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Machine Learning Engineer to help us train and deploy the models critical to the performance of our core product. We would love to meet you if you: Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right-no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them. Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems. Language/Skills: You're exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs. Tools: Build your own tools as needed-like a quick Streamlit app to test hypotheses or create a dataset. Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands on with the full development lifecycle, from ideation to shipping to users. The core work will include: Training and deploying new state of the art models for parsing and interpreting unstructured data. Experimenting with novel techniques to improve LLM accuracy. Build data pipelines, evaluate model performance, and integrate models into the product. Working directly with the founders and customers to shape the product direction and engineering strategy. Have prior experience founding a company or building products at early stages. Are ambitious and driven, and care a lot about doing great work with great people. Keep up with the latest developments in ML/AI. About Reducto Nearly 80% of enterprise data is in unstructured formats like PDFs. PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week. Traditional approaches fail at reliably extracting information in complex PDFs. OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you: Accurately extract text and tables even with nonstandard layouts. Automatically convert graphs to tabular data and summarize images in documents. Extract important fields from complex forms with simple, natural language instructions. Build powerful retrieval pipelines using Reducto's document metadata. Intelligently chunk information using the document's layout data. Benefits at Reducto Lunch: Receive a free lunch to eat with your teammates daily at the office. Reimbursed Transportation: Provide us with your receipts and we'll take care of the costs. Insurance: Generous health insurance covering medical, dental, and vision. Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar. Parental Leave: Work with us to build a leave schedule that works for you and your family. Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
04/02/2026
Full time
Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data - from financial statements to health records - is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale. We've grown incredibly quickly, growing revenue by 7x YOY, and now work with hundreds of companies ranging from leading AI teams (Harvey, Vanta, Scale), through to enterprise (FAANG, top 3 trading firm). We've raised over 100M from world class investors like A16z, Benchmark, and First Round Capital, and are hiring a Machine Learning Engineer to help us train and deploy the models critical to the performance of our core product. We would love to meet you if you: Philosophy: You are your own worst critic. You have a high bar for quality and don't rest until the job is done right-no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them. Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems. Language/Skills: You're exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs. Tools: Build your own tools as needed-like a quick Streamlit app to test hypotheses or create a dataset. Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands on with the full development lifecycle, from ideation to shipping to users. The core work will include: Training and deploying new state of the art models for parsing and interpreting unstructured data. Experimenting with novel techniques to improve LLM accuracy. Build data pipelines, evaluate model performance, and integrate models into the product. Working directly with the founders and customers to shape the product direction and engineering strategy. Have prior experience founding a company or building products at early stages. Are ambitious and driven, and care a lot about doing great work with great people. Keep up with the latest developments in ML/AI. About Reducto Nearly 80% of enterprise data is in unstructured formats like PDFs. PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows. This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week. Traditional approaches fail at reliably extracting information in complex PDFs. OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you: Accurately extract text and tables even with nonstandard layouts. Automatically convert graphs to tabular data and summarize images in documents. Extract important fields from complex forms with simple, natural language instructions. Build powerful retrieval pipelines using Reducto's document metadata. Intelligently chunk information using the document's layout data. Benefits at Reducto Lunch: Receive a free lunch to eat with your teammates daily at the office. Reimbursed Transportation: Provide us with your receipts and we'll take care of the costs. Insurance: Generous health insurance covering medical, dental, and vision. Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar. Parental Leave: Work with us to build a leave schedule that works for you and your family. Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is an American life insurance company owned by German global financial services group. They offer various products, including fixed and variable annuities and life insurance. These products are offered through a network of more than 100,000 agents nationwide. Project Description This role supports business-as-usual operations and ensures disaster recovery readiness for enterprise applications and infrastructure. It focuses on DevOps leadership, implementation of secure CI/CD practices, Azure administration, and mentoring development teams on DevSecOps principles. The environment is hybrid and leverages modern cloud native tools and practices on Microsoft Azure. Technologies PowerShell, SonarQube, Prisma Cloud Python, Databricks, ArgoCD What You'll Do Lead DevOps practices, standards, and procedures across onshore and offshore shifts; Manage Git version control, branching strategies, and pipeline design best practices; Oversee release management including gated deployments and blue green/canary strategies; Integrate DevSecOps tools such as SonarQube and Prisma Cloud for static code and software composition analysis; Perform Azure administration, including scripting (Azure CLI & PowerShell), monitoring, networking, and Key Vault configuration; Build and maintain Azure DevOps pipelines (YAML/classic), containerization using Docker, Kubernetes clusters, and Helm charts; Implement Infrastructure as Code using Terraform; Manage Azure DevOps Project (Boards, Repos, Pipelines, Artifacts) and ensure secure service connections and retention policies; Support agile practices using Azure Boards (sprint planning, backlog management); Ensure compliance with RBAC policies, audit controls, and security integrations; Issue troubleshooting across environments including production, opening and management of incidents with internal IT and vendors (e.g., Microsoft, Databricks); Contribute to architectural discussions, documentation, and code reviews; Mentor development teams in DevSecOps concepts and practices; Job Requirements 5+ years of hands on experience in DevOps, with emphasis on Azure DevOps and secure cloud infrastructure; Strong background in scripting (PowerShell, Azure CLI), containerization (Docker, Kubernetes), and CI/CD; Deep familiarity with Microsoft Azure ecosystem including networking, Key Vault, and SQL DB administration; Experience implementing DevSecOps pipelines with static code and composition analysis tools; Proven ability to troubleshoot complex systems and work with vendors on incident resolution; Strong communication skills, documentation discipline, and mentoring ability; English proficiency at B2 level or higher; Must be available to work 8:00 AM - 4:00 PM CST; What Do We Offer Working from home; Health insurance for employee and dependents; Life insurance; December bonus; Pantry bonds; Teleworking allowance; Internal startup incubator; Technical and non technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Referral program for bringing in new talent; Work anniversary program and additional vacation days; Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
04/02/2026
Full time
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is an American life insurance company owned by German global financial services group. They offer various products, including fixed and variable annuities and life insurance. These products are offered through a network of more than 100,000 agents nationwide. Project Description This role supports business-as-usual operations and ensures disaster recovery readiness for enterprise applications and infrastructure. It focuses on DevOps leadership, implementation of secure CI/CD practices, Azure administration, and mentoring development teams on DevSecOps principles. The environment is hybrid and leverages modern cloud native tools and practices on Microsoft Azure. Technologies PowerShell, SonarQube, Prisma Cloud Python, Databricks, ArgoCD What You'll Do Lead DevOps practices, standards, and procedures across onshore and offshore shifts; Manage Git version control, branching strategies, and pipeline design best practices; Oversee release management including gated deployments and blue green/canary strategies; Integrate DevSecOps tools such as SonarQube and Prisma Cloud for static code and software composition analysis; Perform Azure administration, including scripting (Azure CLI & PowerShell), monitoring, networking, and Key Vault configuration; Build and maintain Azure DevOps pipelines (YAML/classic), containerization using Docker, Kubernetes clusters, and Helm charts; Implement Infrastructure as Code using Terraform; Manage Azure DevOps Project (Boards, Repos, Pipelines, Artifacts) and ensure secure service connections and retention policies; Support agile practices using Azure Boards (sprint planning, backlog management); Ensure compliance with RBAC policies, audit controls, and security integrations; Issue troubleshooting across environments including production, opening and management of incidents with internal IT and vendors (e.g., Microsoft, Databricks); Contribute to architectural discussions, documentation, and code reviews; Mentor development teams in DevSecOps concepts and practices; Job Requirements 5+ years of hands on experience in DevOps, with emphasis on Azure DevOps and secure cloud infrastructure; Strong background in scripting (PowerShell, Azure CLI), containerization (Docker, Kubernetes), and CI/CD; Deep familiarity with Microsoft Azure ecosystem including networking, Key Vault, and SQL DB administration; Experience implementing DevSecOps pipelines with static code and composition analysis tools; Proven ability to troubleshoot complex systems and work with vendors on incident resolution; Strong communication skills, documentation discipline, and mentoring ability; English proficiency at B2 level or higher; Must be available to work 8:00 AM - 4:00 PM CST; What Do We Offer Working from home; Health insurance for employee and dependents; Life insurance; December bonus; Pantry bonds; Teleworking allowance; Internal startup incubator; Technical and non technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Referral program for bringing in new talent; Work anniversary program and additional vacation days; Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
Staff Machine Learning EngineerSan Jose, California, United States of America The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: As a Machine Learning Engineer on Venmo's Data Science team, you'll tackle high-impact challenges that shape how millions of people move and manage money with friends, family, and businesses. Our work spans personalization, retention, trust, discovery, and growth - from predicting churn before it happens to powering Venmo's search and recommendations, to building smarter fraud and risk models. You'll leverage Venmo's unique social graph and financial ecosystem to design ML solutions that drive engagement, safety, and meaningful product experiences. Job Description: You'll be a senior technical leader and thought partner across Venmo-building production-scale ML solutions that serve millions of users and strengthen the core of our product experience, with a growing focus on agentic AI and its role in shaping the future of commerce. From developing models that personalize interactions to optimizing search and discovery, your work will directly shape the future of how people move money and connect through Venmo.You'll collaborate closely with engineering, product, and operations teams-pushing the boundaries of what's possible with ML and helping evolve the data science culture at Venmo.Key Roles and Responsibilities include:- Design, build, and deploy production-grade machine learning models that power personalization, search, ranking, discovery, and other core product experiences. - Use machine learning to drive monetization and deliver user value-supporting initiatives such as pricing strategy, feature optimization, and behavioral targeting. - Partner with product managers, engineers, and designers to identify high-impact opportunities, frame problems as ML tasks, and define measurable success. - Lead the full lifecycle of model development-from data exploration and feature engineering to validation, deployment, and monitoring in production. - Conduct rigorous offline evaluations and design online experiments (e.g., A/B tests) to assess model impact and guide iteration. - Collaborate with data and platform engineering teams to ensure scalable infrastructure, low-latency serving, and long-term system maintainability. - Communicate technical insights and data-driven recommendations clearly to both technical and non-technical stakeholders. - Mentor junior scientists and contribute to the evolution of Venmo's machine learning strategy, practices, and team culture.Basic Requirements:Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics. - 8+ years of industry experience applying machine learning to real-world problems at scale, preferably in product or platform settings. - Strong proficiency in Python and experience with modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). - Expertise in supervised and unsupervised learning; experience with NLP, ranking systems, or user behavior modeling is a plus. - Proficiency in SQL and experience working with large-scale data systems in cloud-based environments (e.g., BigQuery, Spark, Airflow). - Demonstrated success deploying ML models in production, including monitoring, retraining, and debugging. - Excellent problem-solving and communication skills, with the ability to translate complex technical ideas into actionable product insights. - A collaborative mindset with a passion for mentoring, experimentation, and continuous improvement. Additional Responsibilities & Preferred Qualifications: Nice to Have- Experience in social platforms, fintech, consumer apps, or payments ecosystems. - Familiarity with real-time ML model serving and streaming infrastructure. - Contributions to research publications or open-source ML projects. Subsidiary: Venmo Travel Percent: 0-The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location Pay Range: San Jose, California ($196,500.00 - $291,500.00 Annually) Additional Location(s) Pay Range: No other locations are assigned to this requisition currently.Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. This role is also eligible for a range of benefits which may include, medical, dental, vision, life and disability insurance, parental and family leave, 401(k) savings plan, paid time off, and other benefits. For more information visit does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about
04/02/2026
Full time
Staff Machine Learning EngineerSan Jose, California, United States of America The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: As a Machine Learning Engineer on Venmo's Data Science team, you'll tackle high-impact challenges that shape how millions of people move and manage money with friends, family, and businesses. Our work spans personalization, retention, trust, discovery, and growth - from predicting churn before it happens to powering Venmo's search and recommendations, to building smarter fraud and risk models. You'll leverage Venmo's unique social graph and financial ecosystem to design ML solutions that drive engagement, safety, and meaningful product experiences. Job Description: You'll be a senior technical leader and thought partner across Venmo-building production-scale ML solutions that serve millions of users and strengthen the core of our product experience, with a growing focus on agentic AI and its role in shaping the future of commerce. From developing models that personalize interactions to optimizing search and discovery, your work will directly shape the future of how people move money and connect through Venmo.You'll collaborate closely with engineering, product, and operations teams-pushing the boundaries of what's possible with ML and helping evolve the data science culture at Venmo.Key Roles and Responsibilities include:- Design, build, and deploy production-grade machine learning models that power personalization, search, ranking, discovery, and other core product experiences. - Use machine learning to drive monetization and deliver user value-supporting initiatives such as pricing strategy, feature optimization, and behavioral targeting. - Partner with product managers, engineers, and designers to identify high-impact opportunities, frame problems as ML tasks, and define measurable success. - Lead the full lifecycle of model development-from data exploration and feature engineering to validation, deployment, and monitoring in production. - Conduct rigorous offline evaluations and design online experiments (e.g., A/B tests) to assess model impact and guide iteration. - Collaborate with data and platform engineering teams to ensure scalable infrastructure, low-latency serving, and long-term system maintainability. - Communicate technical insights and data-driven recommendations clearly to both technical and non-technical stakeholders. - Mentor junior scientists and contribute to the evolution of Venmo's machine learning strategy, practices, and team culture.Basic Requirements:Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics. - 8+ years of industry experience applying machine learning to real-world problems at scale, preferably in product or platform settings. - Strong proficiency in Python and experience with modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). - Expertise in supervised and unsupervised learning; experience with NLP, ranking systems, or user behavior modeling is a plus. - Proficiency in SQL and experience working with large-scale data systems in cloud-based environments (e.g., BigQuery, Spark, Airflow). - Demonstrated success deploying ML models in production, including monitoring, retraining, and debugging. - Excellent problem-solving and communication skills, with the ability to translate complex technical ideas into actionable product insights. - A collaborative mindset with a passion for mentoring, experimentation, and continuous improvement. Additional Responsibilities & Preferred Qualifications: Nice to Have- Experience in social platforms, fintech, consumer apps, or payments ecosystems. - Familiarity with real-time ML model serving and streaming infrastructure. - Contributions to research publications or open-source ML projects. Subsidiary: Venmo Travel Percent: 0-The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location Pay Range: San Jose, California ($196,500.00 - $291,500.00 Annually) Additional Location(s) Pay Range: No other locations are assigned to this requisition currently.Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. This role is also eligible for a range of benefits which may include, medical, dental, vision, life and disability insurance, parental and family leave, 401(k) savings plan, paid time off, and other benefits. For more information visit does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit .For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare. Project Description The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance. Technologies AWS (RDS, S3, KMS, IAM, Secrets Manager) Bash, Python, PowerShell What You'll Do Design and implement namespace-isolated tenant environments within shared Kubernetes clusters; Develop and maintain Helm charts with tenant-specific configurations; Build and manage GitOps-based CI/CD pipelines for per-tenant deployments; Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3); Implement compute isolation (node affinity, taints, tolerations); Apply security controls (RBAC, NetworkPolicies, OPA, service mesh); Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging; Support secure deployment automation and rollback strategies; Collaborate with architecture and security teams on compliance validation; Participate in backend readiness efforts and transition from NiFi to microservices; Job Requirements 4+ years of experience in DevOps, cloud infrastructure, or platform engineering; Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management; Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux); Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager); Experience implementing secure CI/CD pipelines; Familiarity with backend/data systems (Flink, Dremio, MariaDB); Experience with NiFi (process groups, permissions, variable registries); Understanding of service mesh technologies and policy enforcement (OPA); Scripting experience (Bash, Python, PowerShell); Strong analytical and troubleshooting skills; Ability to work independently in fast-paced environments; Excellent collaboration and communication skills; English level: B1+ (Intermediate) or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days. If this opportunity excites you, send us your resume! Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
04/02/2026
Full time
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is the market leader in contact center robotic process automation (RPA). Its patented platform automates manual management processes in contact centers, helping enterprises reduce costs while improving agent engagement and customer experience. The platform powers over 1 billion automated actions annually and has delivered significant measurable ROI across industries such as financial services, telecommunications, insurance, and healthcare. Project Description The project focuses on deploying and managing a multi-tenant, namespace-isolated Kubernetes platform in a hosted AWS environment. You will design and implement secure, scalable tenant environments, automate deployments using GitOps, and ensure infrastructure reliability and compliance. Technologies AWS (RDS, S3, KMS, IAM, Secrets Manager) Bash, Python, PowerShell What You'll Do Design and implement namespace-isolated tenant environments within shared Kubernetes clusters; Develop and maintain Helm charts with tenant-specific configurations; Build and manage GitOps-based CI/CD pipelines for per-tenant deployments; Integrate tenant workloads with backend systems (RDS/MariaDB, Flink, Dremio, S3); Implement compute isolation (node affinity, taints, tolerations); Apply security controls (RBAC, NetworkPolicies, OPA, service mesh); Ensure observability and monitoring using OpenTelemetry, Grafana, and centralized logging; Support secure deployment automation and rollback strategies; Collaborate with architecture and security teams on compliance validation; Participate in backend readiness efforts and transition from NiFi to microservices; Job Requirements 4+ years of experience in DevOps, cloud infrastructure, or platform engineering; Strong hands-on experience with Kubernetes, including multi-tenant architecture and namespace management; Proficiency with Helm, Kustomize, and GitOps tools (Argo CD, Flux); Hands-on experience with AWS services (RDS, S3, IAM, KMS, Secrets Manager); Experience implementing secure CI/CD pipelines; Familiarity with backend/data systems (Flink, Dremio, MariaDB); Experience with NiFi (process groups, permissions, variable registries); Understanding of service mesh technologies and policy enforcement (OPA); Scripting experience (Bash, Python, PowerShell); Strong analytical and troubleshooting skills; Ability to work independently in fast-paced environments; Excellent collaboration and communication skills; English level: B1+ (Intermediate) or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days. If this opportunity excites you, send us your resume! Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is a young tech company building an AI-based customer data platform. The product helps large companies collect data from different systems and create one real-time customer profile. This helps businesses make faster decisions, improve sales, and reduce customer churn. Project Description You will work on several parallel initiatives for a large enterprise in the hospitality industry. The projects focus on building modern digital experiences using Adobe App Builder, AEM, and enterprise APIs, with high requirements for scalability, performance, and reliability. This role combines hands on development and technical leadership. You will guide the team, contribute to architecture decisions, and work closely with client side technical stakeholders. Technologies Java Adobe Experience Manager (AEM), Adobe App Builder Cloud-based architecture APIs and distributed systems What You'll Do Design and guide integrations with enterprise APIs and backend systems; Ensure solutions are scalable, reliable, and maintainable; Contribute to development as a hands on engineer; Review code and ensure quality standards; Mentor developers and support their technical growth; Help the team with task breakdown and technical decisions; Promote modular architecture, reusable components, and clean design patterns; Contribute to architecture discussions and align with client-side architects; Work directly with client technical stakeholders; Take part in technical demos and solution discussions; Identify opportunities for automation, code generation, and productivity improvements; Job Requirements 10+ years of software development experience; Strong experience with Java; Experience building large-scale web applications; Experience with APIs and distributed systems; Experience leading distributed or offshore development teams; Willingness to work with AEM; Familiarity with AI development tools; Ability to combine hands on work with technical leadership; Upper Intermediate or higher level of English (spoken and written); Nice to Have Experience with Adobe App Builder and/or Adobe Experience Manager (AEM); Experience working in enterprise environments; Experience with cloud-native architecture; What Do We Offer Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days. If this opportunity excites you, send us your resume! Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
04/02/2026
Full time
Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company's core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more. We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page. Company Background Our client is a young tech company building an AI-based customer data platform. The product helps large companies collect data from different systems and create one real-time customer profile. This helps businesses make faster decisions, improve sales, and reduce customer churn. Project Description You will work on several parallel initiatives for a large enterprise in the hospitality industry. The projects focus on building modern digital experiences using Adobe App Builder, AEM, and enterprise APIs, with high requirements for scalability, performance, and reliability. This role combines hands on development and technical leadership. You will guide the team, contribute to architecture decisions, and work closely with client side technical stakeholders. Technologies Java Adobe Experience Manager (AEM), Adobe App Builder Cloud-based architecture APIs and distributed systems What You'll Do Design and guide integrations with enterprise APIs and backend systems; Ensure solutions are scalable, reliable, and maintainable; Contribute to development as a hands on engineer; Review code and ensure quality standards; Mentor developers and support their technical growth; Help the team with task breakdown and technical decisions; Promote modular architecture, reusable components, and clean design patterns; Contribute to architecture discussions and align with client-side architects; Work directly with client technical stakeholders; Take part in technical demos and solution discussions; Identify opportunities for automation, code generation, and productivity improvements; Job Requirements 10+ years of software development experience; Strong experience with Java; Experience building large-scale web applications; Experience with APIs and distributed systems; Experience leading distributed or offshore development teams; Willingness to work with AEM; Familiarity with AI development tools; Ability to combine hands on work with technical leadership; Upper Intermediate or higher level of English (spoken and written); Nice to Have Experience with Adobe App Builder and/or Adobe Experience Manager (AEM); Experience working in enterprise environments; Experience with cloud-native architecture; What Do We Offer Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Internal startup incubator; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days. If this opportunity excites you, send us your resume! Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted. Please take your time to see Coherent Solutions Privacy Policy for Job Applicants for details on how we process your personal data:
Overview About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority-compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what's possible. What You Will Do As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You'll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You'll approach problems with a software engineer's mindset-prioritizing robustness, maintainability, and performance at scale. What We Value Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience using LLMs in production environments - covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain Strong understanding of data structures, algorithms, and software engineering best practices. Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts. Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines. A bias for simplicity and clarity in solving complex problems. Intellectual curiosity and willingness to collaborate. Clear communication and collaboration across cross-functional teams. How Do We Hire We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
04/02/2026
Full time
Overview About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority-compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what's possible. What You Will Do As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You'll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You'll approach problems with a software engineer's mindset-prioritizing robustness, maintainability, and performance at scale. What We Value Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience using LLMs in production environments - covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain Strong understanding of data structures, algorithms, and software engineering best practices. Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts. Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines. A bias for simplicity and clarity in solving complex problems. Intellectual curiosity and willingness to collaborate. Clear communication and collaboration across cross-functional teams. How Do We Hire We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
Snap Inc () is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat (), a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (), an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (). Snap Engineering () teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well being of everyone in our global community, which is why our values () are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap! What you'll do: Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient. Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace. Collaborate with cross functional teams to set and align on machine learning strategies to meet company objectives. Stay up to date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Work across teams to understand product requirements, evaluate trade offs, and deliver the solutions needed to build innovative products or services. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management. Provide technical direction that influences the entire ML community. Knowledge, Skills & Abilities: Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI. Ability to design, train, deploy, and optimize state of the art machine-learning models for performance, reliability, and scale. Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness. Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces. Skilled at solving ambiguous problems and leading and executing complex technical initiatives. Strong collaboration, communication, and mentorship abilities. Minimum Qualifications: 9+ years of post Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post grad ML experience; or a PhD in a related technical field + 5+ years of post grad ML experience. 2+ years of experience with technical leadership or acting as the domain expert to a technical organization. Experience developing and shipping performant and scalable machine-learning models for recommendation or ranking use cases. Preferred Qualifications: Advanced degree in a related field such as machine learning, computer vision, or mathematics. Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two sided markets (e.g., job markets and matching). Experience with TensorFlow, PyTorch, or related deep-learning frameworks. Track record of delivery in rapidly changing, highly collaborative, multi site, multi stakeholder environments. Experience contributing to AI publications. If you have a disability or special need that requires accommodation, please don't be shy and provide us some information () . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits () : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) () : The base salary range for this position is $276,000-$414,000 annually. Zone B () : The base salary range for this position is $262,000-$393,000 annually. Zone C () : The base salary range for this position is $235,000-$352,000 annually. This position is eligible for equity in the form of RSUs. A Decade of Snap (): Learn about our origin story, values, mission, culture of innovation, and more. CitizenSnap (): In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward. The DEI Innovation Summit (): Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action. Snap News (): Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy ()
04/02/2026
Full time
Snap Inc () is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat (), a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (), an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (). Snap Engineering () teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well being of everyone in our global community, which is why our values () are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap! What you'll do: Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient. Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace. Collaborate with cross functional teams to set and align on machine learning strategies to meet company objectives. Stay up to date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Work across teams to understand product requirements, evaluate trade offs, and deliver the solutions needed to build innovative products or services. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management. Provide technical direction that influences the entire ML community. Knowledge, Skills & Abilities: Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI. Ability to design, train, deploy, and optimize state of the art machine-learning models for performance, reliability, and scale. Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness. Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces. Skilled at solving ambiguous problems and leading and executing complex technical initiatives. Strong collaboration, communication, and mentorship abilities. Minimum Qualifications: 9+ years of post Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post grad ML experience; or a PhD in a related technical field + 5+ years of post grad ML experience. 2+ years of experience with technical leadership or acting as the domain expert to a technical organization. Experience developing and shipping performant and scalable machine-learning models for recommendation or ranking use cases. Preferred Qualifications: Advanced degree in a related field such as machine learning, computer vision, or mathematics. Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two sided markets (e.g., job markets and matching). Experience with TensorFlow, PyTorch, or related deep-learning frameworks. Track record of delivery in rapidly changing, highly collaborative, multi site, multi stakeholder environments. Experience contributing to AI publications. If you have a disability or special need that requires accommodation, please don't be shy and provide us some information () . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits () : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC) () : The base salary range for this position is $276,000-$414,000 annually. Zone B () : The base salary range for this position is $262,000-$393,000 annually. Zone C () : The base salary range for this position is $235,000-$352,000 annually. This position is eligible for equity in the form of RSUs. A Decade of Snap (): Learn about our origin story, values, mission, culture of innovation, and more. CitizenSnap (): In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward. The DEI Innovation Summit (): Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action. Snap News (): Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy ()
Principal Systems Engineer - Quantum Computing Systems Boston, MA USA Summary We are seeking a Principal Systems Engineer to play a critical role in aligning engineering execution with scientific and machine-level progress in the development of large scale quantum computers. This role sits at the intersection of quantum science, hardware engineering, and control software, with a primary mission to make the system coherent, buildable, and integrable as it evolves. Unlike traditional product environments, many system requirements in quantum computing are discovered through experimentation, not defined upfront. Success in this role requires deep collaboration with scientists, rapid learning, and the ability to introduce structure only where it accelerates progress. The ideal candidate brings extensive experience building complex hardware-software systems (e.g., aerospace, EVs, robotics, advanced instrumentation) and is motivated to apply systems engineering rigor in a learning driven R&D environment, pairing closely with internal quantum experts. This is a technical leadership role with broad influence across teams. Authority comes from clarity, usefulness, and trust - not from gatekeeping or heavy process. Core Mission Bridge the gap between engineering tasks and quantum machine milestones Make system architecture, integration status, and technical risk visible and actionable Enable scientists and engineers to move faster together by reducing ambiguity, friction, and rework Help the organization evolve from ad hoc integration to disciplined, scalable system development - without slowing discovery Responsibilities 1. System Understanding Through Scientific Partnership Work closely and continuously with quantum scientists to understand how the machine is actually operated, tuned, and debugged in practice. Spend significant time in the lab, observing experiments and participating in scientific discussions to absorb tacit system knowledge. Treat scientists as primary system knowledge holders, approaching requirement gathering as a learning and synthesis exercise. Build trust by accurately reflecting scientific intent and constraints in system models, requirements, and architectural decisions. 2. Requirements Co Evolution & Traceability Facilitate the co evolution of system requirements as the machine progresses: Start with lightweight, provisional requirements Explicitly document uncertainty, assumptions, and open questions Refine requirements as experimental results and understanding improve Translate scientific goals (e.g., performance, stability, operability) into actionable engineering requirements while preserving necessary flexibility. Establish traceability between: Subsystem requirements Engineering deliverables (e.g., JIRA epics) Ensure engineers understand the intent behind requirements, not just the wording. Develop and maintain a living system architecture covering: Control electronics and firmware Control software and orchestration layers Produce clear, accessible architecture diagrams that reflect reality and evolve with the system. Identify missing architectural elements, poorly defined interfaces, and integration risks early. Lead system level trade studies and technical decision making in partnership with engineering and scientific leaders. Ensure architecture reflects machine milestones and not just organizational boundaries. 4. Integration, Test Strategy, and Machine Protection Define and drive a system integration and test strategy appropriate for an evolving R&D machine. Help ensure engineering testbeds match machine configurations as closely as possible. Push integration testing upstream so that machines are not used as primary test platforms. Partner with engineering teams to define validation criteria tied to real machine behavior. Reduce burden on lab teams by improving pre deployment testing and integration readiness. 5. Early Wins & Trust Building Deliver small, tangible improvements early that directly reduce friction for scientists and engineers, such as: Clarifying a recurring interface problem Creating a simple integration checklist Documenting a failure mode that saves days of debugging Use these wins to establish credibility and reinforce the value of systems engineering. Continuously gather feedback on what is helping vs. slowing teams down, and adapt approach accordingly. 6. Unlearning, Adaptation, and Process Design Actively identify where traditional systems engineering assumptions do not apply to quantum computing. Unlearn rigid models around fixed requirements, early design freezes, and linear development. Introduce process and structure incrementally, calibrated to system maturity. Champion systems thinking without dogma - prioritizing outcomes over formality. 7. Technical Leadership & Mentorship Serve as a technical leader and mentor for engineers and emerging systems thinkers. Help scale system knowledge through documentation, diagrams, and internal education. Contribute to leadership discussions on technical strategy, integration risk, and execution pacing. What Success Looks Like Within 6-12 months: Scientists feel supported by engineering integration work. Engineering efforts show clearer linkage to machine milestones. Integration issues are identified earlier and resolved faster. System architecture is widely referenced and trusted. Leadership has improved visibility into system readiness and risk. Machine milestones are achieved. Qualifications 10+ years of experience in systems engineering or system architecture for complex hardware-software systems. Proven experience integrating multidisciplinary systems (hardware, software, controls). Strong background in requirements definition, interface management, and system integration. Ability to operate effectively in ambiguous, fast evolving R&D environments. Exceptional communication and collaboration skills. Preferred Qualifications Experience in aerospace, automotive, robotics, advanced instrumentation, or similar domains. Familiarity with model based systems engineering (MBSE) concepts or tools. Experience working closely with research or experimental teams. Exposure to quantum technologies is a plus, but not required. Personal Attributes We Value Intellectual humility and curiosity Comfort learning from domain experts Bias toward clarity and usefulness Why This Role Matters You will help build a machine that has never existed before - not by enforcing process, but by making the system understandable, integrable, and scalable. This role is foundational to turning scientific breakthroughs into reliable quantum computers. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
04/02/2026
Full time
Principal Systems Engineer - Quantum Computing Systems Boston, MA USA Summary We are seeking a Principal Systems Engineer to play a critical role in aligning engineering execution with scientific and machine-level progress in the development of large scale quantum computers. This role sits at the intersection of quantum science, hardware engineering, and control software, with a primary mission to make the system coherent, buildable, and integrable as it evolves. Unlike traditional product environments, many system requirements in quantum computing are discovered through experimentation, not defined upfront. Success in this role requires deep collaboration with scientists, rapid learning, and the ability to introduce structure only where it accelerates progress. The ideal candidate brings extensive experience building complex hardware-software systems (e.g., aerospace, EVs, robotics, advanced instrumentation) and is motivated to apply systems engineering rigor in a learning driven R&D environment, pairing closely with internal quantum experts. This is a technical leadership role with broad influence across teams. Authority comes from clarity, usefulness, and trust - not from gatekeeping or heavy process. Core Mission Bridge the gap between engineering tasks and quantum machine milestones Make system architecture, integration status, and technical risk visible and actionable Enable scientists and engineers to move faster together by reducing ambiguity, friction, and rework Help the organization evolve from ad hoc integration to disciplined, scalable system development - without slowing discovery Responsibilities 1. System Understanding Through Scientific Partnership Work closely and continuously with quantum scientists to understand how the machine is actually operated, tuned, and debugged in practice. Spend significant time in the lab, observing experiments and participating in scientific discussions to absorb tacit system knowledge. Treat scientists as primary system knowledge holders, approaching requirement gathering as a learning and synthesis exercise. Build trust by accurately reflecting scientific intent and constraints in system models, requirements, and architectural decisions. 2. Requirements Co Evolution & Traceability Facilitate the co evolution of system requirements as the machine progresses: Start with lightweight, provisional requirements Explicitly document uncertainty, assumptions, and open questions Refine requirements as experimental results and understanding improve Translate scientific goals (e.g., performance, stability, operability) into actionable engineering requirements while preserving necessary flexibility. Establish traceability between: Subsystem requirements Engineering deliverables (e.g., JIRA epics) Ensure engineers understand the intent behind requirements, not just the wording. Develop and maintain a living system architecture covering: Control electronics and firmware Control software and orchestration layers Produce clear, accessible architecture diagrams that reflect reality and evolve with the system. Identify missing architectural elements, poorly defined interfaces, and integration risks early. Lead system level trade studies and technical decision making in partnership with engineering and scientific leaders. Ensure architecture reflects machine milestones and not just organizational boundaries. 4. Integration, Test Strategy, and Machine Protection Define and drive a system integration and test strategy appropriate for an evolving R&D machine. Help ensure engineering testbeds match machine configurations as closely as possible. Push integration testing upstream so that machines are not used as primary test platforms. Partner with engineering teams to define validation criteria tied to real machine behavior. Reduce burden on lab teams by improving pre deployment testing and integration readiness. 5. Early Wins & Trust Building Deliver small, tangible improvements early that directly reduce friction for scientists and engineers, such as: Clarifying a recurring interface problem Creating a simple integration checklist Documenting a failure mode that saves days of debugging Use these wins to establish credibility and reinforce the value of systems engineering. Continuously gather feedback on what is helping vs. slowing teams down, and adapt approach accordingly. 6. Unlearning, Adaptation, and Process Design Actively identify where traditional systems engineering assumptions do not apply to quantum computing. Unlearn rigid models around fixed requirements, early design freezes, and linear development. Introduce process and structure incrementally, calibrated to system maturity. Champion systems thinking without dogma - prioritizing outcomes over formality. 7. Technical Leadership & Mentorship Serve as a technical leader and mentor for engineers and emerging systems thinkers. Help scale system knowledge through documentation, diagrams, and internal education. Contribute to leadership discussions on technical strategy, integration risk, and execution pacing. What Success Looks Like Within 6-12 months: Scientists feel supported by engineering integration work. Engineering efforts show clearer linkage to machine milestones. Integration issues are identified earlier and resolved faster. System architecture is widely referenced and trusted. Leadership has improved visibility into system readiness and risk. Machine milestones are achieved. Qualifications 10+ years of experience in systems engineering or system architecture for complex hardware-software systems. Proven experience integrating multidisciplinary systems (hardware, software, controls). Strong background in requirements definition, interface management, and system integration. Ability to operate effectively in ambiguous, fast evolving R&D environments. Exceptional communication and collaboration skills. Preferred Qualifications Experience in aerospace, automotive, robotics, advanced instrumentation, or similar domains. Familiarity with model based systems engineering (MBSE) concepts or tools. Experience working closely with research or experimental teams. Exposure to quantum technologies is a plus, but not required. Personal Attributes We Value Intellectual humility and curiosity Comfort learning from domain experts Bias toward clarity and usefulness Why This Role Matters You will help build a machine that has never existed before - not by enforcing process, but by making the system understandable, integrable, and scalable. This role is foundational to turning scientific breakthroughs into reliable quantum computers. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.