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Harnham
Artificial Intelligence Engineer
Harnham San Jose, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham Los Angeles, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Enterprise NetSuite Engineer
TurnKey Tech Staffing San Francisco, California
Balsam Brands is a global, eCommerce retailer with roots in holiday and home décor. We strive for excellence in everything we do and present a unique opportunity for those seeking to have a meaningful impact in a people-first company that values relationship building, authenticity, and doing the right thing. We have steadily growing teams in Boise, the Bay Area, Dublin, the Philippines - and most recently, Windsor, Canada! The company's mission is to create joy together. We empower our team and partners to love what they do, provide products and experiences that inspire meaningful moments with family and friends, and give back to our families and communities in impactful ways. When you join Balsam Brands, you'll find a culture of caring people doing challenging work and building a welcoming workplace. • Balsam Brands in Forbes: • Balsam Brands on LinkedIn: Job Summary At Balsam Brands, we understand that our enterprise applications are at the heart of our success. NetSuite ERP provides the technology foundation for order management, warehouse management, inventory management, order fulfilment, procurement and customer service management. As a talented NetSuite ERP engineer, you will spearhead our application development process and support our existing applications and systems. What you'll do: Design and develop custom NetSuite solutions, including SuiteScript 2.x workflows, custom records, saved searches, and RESTlets to support business processes Build responsive, performant React applications that integrate with NetSuite APIs to provide intuitive user experiences Must know an object-oriented programming language Working knowledge of .NET technologies is a plus Create and maintain integrations between NetSuite and external systems using RESTful APIs and middleware platforms Optimize NetSuite customizations for performance and scalability while adhering to governance limits Collaborate with business stakeholders to translate requirements into technical solutions that balance user needs with system capabilities Write clean, maintainable code with comprehensive testing and documentation Participate in code reviews and mentor engineers on best practices for both NetSuite and React development Troubleshoot production issues and implement robust solutions to prevent recurrence Stay current with NetSuite platform updates and React ecosystem developments to leverage new capabilities What you bring to the table: Bachelor's degree in Computer Science, MIS or equivalent academic achievement or equivalent experience Strong foundation in software engineering, with extensive experience in enterprise application architecture and development At least three (3) years of NetSuite development experience with SuiteScript 2.x (client scripts, user event scripts, scheduled scripts, RESTlets, map/reduce scripts) Advanced knowledge of object-oriented programming (OOP) principles and design patterns Proficiency with RESTful API design and integration patterns Solid understanding of state management solutions (Redux, Context API, or similar) Knowledge of SDLC methodologies such as Waterfall, Agile, Lean, and Scrum Commitment to learning new technologies, completing training, acquiring certifications and being an impact player Advanced English proficiency (B2-C1 or higher) Strong communication skills and experience working with diverse and remotely distributed teams Critical problem-solving, analysis and ability to work under minimal supervision Preferred Qualifications: In-depth understanding of operations, supply chain, inventory management, procurement, and logistics processes NetSuite Administrator or SuiteCloud Developer certification Familiarity with NetSuite SuiteTalk (SOAP) and Suite Analytics Knowledge of testing frameworks (Jest, React Testing Library, Mocha) Experience with CI/CD pipelines and version control best practices Understanding of ERP concepts including order-to-cash, procure-to-pay, and financial processes Working knowledge of .NET technologies We offer: We welcome new ideas and allow you to make an immediate impact on the team. Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and flexible work schedule. Personal laptop. Health and wellness package. Fully remote. Notes: This is a full-time, permanent position with benefits. At Balsam Brands, we strive to build a diverse, equitable, and inclusive team to fulfill our purpose to create joy together. Balsam Brands is proud to be an equal opportunity employer. We encourage people from all backgrounds, ages, abilities, and experiences to apply. We do not discriminate on the basis of race, ethnicity, religion, national origin, citizenship, marital or family status, disability, sexual orientation, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Kindly submit your application and CV in English.
04/05/2026
Full time
Balsam Brands is a global, eCommerce retailer with roots in holiday and home décor. We strive for excellence in everything we do and present a unique opportunity for those seeking to have a meaningful impact in a people-first company that values relationship building, authenticity, and doing the right thing. We have steadily growing teams in Boise, the Bay Area, Dublin, the Philippines - and most recently, Windsor, Canada! The company's mission is to create joy together. We empower our team and partners to love what they do, provide products and experiences that inspire meaningful moments with family and friends, and give back to our families and communities in impactful ways. When you join Balsam Brands, you'll find a culture of caring people doing challenging work and building a welcoming workplace. • Balsam Brands in Forbes: • Balsam Brands on LinkedIn: Job Summary At Balsam Brands, we understand that our enterprise applications are at the heart of our success. NetSuite ERP provides the technology foundation for order management, warehouse management, inventory management, order fulfilment, procurement and customer service management. As a talented NetSuite ERP engineer, you will spearhead our application development process and support our existing applications and systems. What you'll do: Design and develop custom NetSuite solutions, including SuiteScript 2.x workflows, custom records, saved searches, and RESTlets to support business processes Build responsive, performant React applications that integrate with NetSuite APIs to provide intuitive user experiences Must know an object-oriented programming language Working knowledge of .NET technologies is a plus Create and maintain integrations between NetSuite and external systems using RESTful APIs and middleware platforms Optimize NetSuite customizations for performance and scalability while adhering to governance limits Collaborate with business stakeholders to translate requirements into technical solutions that balance user needs with system capabilities Write clean, maintainable code with comprehensive testing and documentation Participate in code reviews and mentor engineers on best practices for both NetSuite and React development Troubleshoot production issues and implement robust solutions to prevent recurrence Stay current with NetSuite platform updates and React ecosystem developments to leverage new capabilities What you bring to the table: Bachelor's degree in Computer Science, MIS or equivalent academic achievement or equivalent experience Strong foundation in software engineering, with extensive experience in enterprise application architecture and development At least three (3) years of NetSuite development experience with SuiteScript 2.x (client scripts, user event scripts, scheduled scripts, RESTlets, map/reduce scripts) Advanced knowledge of object-oriented programming (OOP) principles and design patterns Proficiency with RESTful API design and integration patterns Solid understanding of state management solutions (Redux, Context API, or similar) Knowledge of SDLC methodologies such as Waterfall, Agile, Lean, and Scrum Commitment to learning new technologies, completing training, acquiring certifications and being an impact player Advanced English proficiency (B2-C1 or higher) Strong communication skills and experience working with diverse and remotely distributed teams Critical problem-solving, analysis and ability to work under minimal supervision Preferred Qualifications: In-depth understanding of operations, supply chain, inventory management, procurement, and logistics processes NetSuite Administrator or SuiteCloud Developer certification Familiarity with NetSuite SuiteTalk (SOAP) and Suite Analytics Knowledge of testing frameworks (Jest, React Testing Library, Mocha) Experience with CI/CD pipelines and version control best practices Understanding of ERP concepts including order-to-cash, procure-to-pay, and financial processes Working knowledge of .NET technologies We offer: We welcome new ideas and allow you to make an immediate impact on the team. Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and flexible work schedule. Personal laptop. Health and wellness package. Fully remote. Notes: This is a full-time, permanent position with benefits. At Balsam Brands, we strive to build a diverse, equitable, and inclusive team to fulfill our purpose to create joy together. Balsam Brands is proud to be an equal opportunity employer. We encourage people from all backgrounds, ages, abilities, and experiences to apply. We do not discriminate on the basis of race, ethnicity, religion, national origin, citizenship, marital or family status, disability, sexual orientation, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Kindly submit your application and CV in English.
Chief Engineer
Auria Colorado Springs, Colorado
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
04/05/2026
Full time
Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PIbcbe61533f77-2930
Enterprise NetSuite Engineer
TurnKey Tech Staffing Boise, Idaho
Balsam Brands is a global, eCommerce retailer with roots in holiday and home décor. We strive for excellence in everything we do and present a unique opportunity for those seeking to have a meaningful impact in a people-first company that values relationship building, authenticity, and doing the right thing. We have steadily growing teams in Boise, the Bay Area, Dublin, the Philippines - and most recently, Windsor, Canada! The company's mission is to create joy together. We empower our team and partners to love what they do, provide products and experiences that inspire meaningful moments with family and friends, and give back to our families and communities in impactful ways. When you join Balsam Brands, you'll find a culture of caring people doing challenging work and building a welcoming workplace. • Balsam Brands in Forbes: • Balsam Brands on LinkedIn: Job Summary At Balsam Brands, we understand that our enterprise applications are at the heart of our success. NetSuite ERP provides the technology foundation for order management, warehouse management, inventory management, order fulfilment, procurement and customer service management. As a talented NetSuite ERP engineer, you will spearhead our application development process and support our existing applications and systems. What you'll do: Design and develop custom NetSuite solutions, including SuiteScript 2.x workflows, custom records, saved searches, and RESTlets to support business processes Build responsive, performant React applications that integrate with NetSuite APIs to provide intuitive user experiences Must know an object-oriented programming language Working knowledge of .NET technologies is a plus Create and maintain integrations between NetSuite and external systems using RESTful APIs and middleware platforms Optimize NetSuite customizations for performance and scalability while adhering to governance limits Collaborate with business stakeholders to translate requirements into technical solutions that balance user needs with system capabilities Write clean, maintainable code with comprehensive testing and documentation Participate in code reviews and mentor engineers on best practices for both NetSuite and React development Troubleshoot production issues and implement robust solutions to prevent recurrence Stay current with NetSuite platform updates and React ecosystem developments to leverage new capabilities What you bring to the table: Bachelor's degree in Computer Science, MIS or equivalent academic achievement or equivalent experience Strong foundation in software engineering, with extensive experience in enterprise application architecture and development At least three (3) years of NetSuite development experience with SuiteScript 2.x (client scripts, user event scripts, scheduled scripts, RESTlets, map/reduce scripts) Advanced knowledge of object-oriented programming (OOP) principles and design patterns Proficiency with RESTful API design and integration patterns Solid understanding of state management solutions (Redux, Context API, or similar) Knowledge of SDLC methodologies such as Waterfall, Agile, Lean, and Scrum Commitment to learning new technologies, completing training, acquiring certifications and being an impact player Advanced English proficiency (B2-C1 or higher) Strong communication skills and experience working with diverse and remotely distributed teams Critical problem-solving, analysis and ability to work under minimal supervision Preferred Qualifications: In-depth understanding of operations, supply chain, inventory management, procurement, and logistics processes NetSuite Administrator or SuiteCloud Developer certification Familiarity with NetSuite SuiteTalk (SOAP) and Suite Analytics Knowledge of testing frameworks (Jest, React Testing Library, Mocha) Experience with CI/CD pipelines and version control best practices Understanding of ERP concepts including order-to-cash, procure-to-pay, and financial processes Working knowledge of .NET technologies We offer: We welcome new ideas and allow you to make an immediate impact on the team. Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and flexible work schedule. Personal laptop. Health and wellness package. Fully remote. Notes: This is a full-time, permanent position with benefits. At Balsam Brands, we strive to build a diverse, equitable, and inclusive team to fulfill our purpose to create joy together. Balsam Brands is proud to be an equal opportunity employer. We encourage people from all backgrounds, ages, abilities, and experiences to apply. We do not discriminate on the basis of race, ethnicity, religion, national origin, citizenship, marital or family status, disability, sexual orientation, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Kindly submit your application and CV in English.
04/05/2026
Full time
Balsam Brands is a global, eCommerce retailer with roots in holiday and home décor. We strive for excellence in everything we do and present a unique opportunity for those seeking to have a meaningful impact in a people-first company that values relationship building, authenticity, and doing the right thing. We have steadily growing teams in Boise, the Bay Area, Dublin, the Philippines - and most recently, Windsor, Canada! The company's mission is to create joy together. We empower our team and partners to love what they do, provide products and experiences that inspire meaningful moments with family and friends, and give back to our families and communities in impactful ways. When you join Balsam Brands, you'll find a culture of caring people doing challenging work and building a welcoming workplace. • Balsam Brands in Forbes: • Balsam Brands on LinkedIn: Job Summary At Balsam Brands, we understand that our enterprise applications are at the heart of our success. NetSuite ERP provides the technology foundation for order management, warehouse management, inventory management, order fulfilment, procurement and customer service management. As a talented NetSuite ERP engineer, you will spearhead our application development process and support our existing applications and systems. What you'll do: Design and develop custom NetSuite solutions, including SuiteScript 2.x workflows, custom records, saved searches, and RESTlets to support business processes Build responsive, performant React applications that integrate with NetSuite APIs to provide intuitive user experiences Must know an object-oriented programming language Working knowledge of .NET technologies is a plus Create and maintain integrations between NetSuite and external systems using RESTful APIs and middleware platforms Optimize NetSuite customizations for performance and scalability while adhering to governance limits Collaborate with business stakeholders to translate requirements into technical solutions that balance user needs with system capabilities Write clean, maintainable code with comprehensive testing and documentation Participate in code reviews and mentor engineers on best practices for both NetSuite and React development Troubleshoot production issues and implement robust solutions to prevent recurrence Stay current with NetSuite platform updates and React ecosystem developments to leverage new capabilities What you bring to the table: Bachelor's degree in Computer Science, MIS or equivalent academic achievement or equivalent experience Strong foundation in software engineering, with extensive experience in enterprise application architecture and development At least three (3) years of NetSuite development experience with SuiteScript 2.x (client scripts, user event scripts, scheduled scripts, RESTlets, map/reduce scripts) Advanced knowledge of object-oriented programming (OOP) principles and design patterns Proficiency with RESTful API design and integration patterns Solid understanding of state management solutions (Redux, Context API, or similar) Knowledge of SDLC methodologies such as Waterfall, Agile, Lean, and Scrum Commitment to learning new technologies, completing training, acquiring certifications and being an impact player Advanced English proficiency (B2-C1 or higher) Strong communication skills and experience working with diverse and remotely distributed teams Critical problem-solving, analysis and ability to work under minimal supervision Preferred Qualifications: In-depth understanding of operations, supply chain, inventory management, procurement, and logistics processes NetSuite Administrator or SuiteCloud Developer certification Familiarity with NetSuite SuiteTalk (SOAP) and Suite Analytics Knowledge of testing frameworks (Jest, React Testing Library, Mocha) Experience with CI/CD pipelines and version control best practices Understanding of ERP concepts including order-to-cash, procure-to-pay, and financial processes Working knowledge of .NET technologies We offer: We welcome new ideas and allow you to make an immediate impact on the team. Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and flexible work schedule. Personal laptop. Health and wellness package. Fully remote. Notes: This is a full-time, permanent position with benefits. At Balsam Brands, we strive to build a diverse, equitable, and inclusive team to fulfill our purpose to create joy together. Balsam Brands is proud to be an equal opportunity employer. We encourage people from all backgrounds, ages, abilities, and experiences to apply. We do not discriminate on the basis of race, ethnicity, religion, national origin, citizenship, marital or family status, disability, sexual orientation, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Kindly submit your application and CV in English.
Harnham
Artificial Intelligence Engineer
Harnham San Francisco, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham San Diego, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Harnham
Artificial Intelligence Engineer
Harnham Oakland, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Senior Software Engineer
NEON San Francisco, California
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
04/05/2026
Full time
Senior Software Engineer at Neon Base pay range: $150,000 / yr - $200,000 / yr About Neon Neon is a global payments and e-commerce platform designed to help game publishers earn more money and independence from app stores. We believe commerce should be open and transparent: clear decisions, actionable insights, and aligned incentives. Founded by payments, fintech and gaming veterans, Neon focuses on product and partnership excellence: we share the playbook, co pilot decisions, and abstract away risk and complexity for our customers. We're replacing old school, black box relics with clear, modern, and developer centric infrastructure. About the Role Neon is seeking a Senior Software Engineer who will help lead the development of one of our key work streams. As a design minded engineer, you'll bring ideas to life on a blank canvas, turning concepts into functional, beautiful products. You'll be involved in the full stack of the technology, working hands on to build and scale a core product that accelerates financial independence for game creators. What You'll Do Develop and maintain both front end and back end components of the product Collaborate closely with product leaders, designers, and fellow engineers to define, design, and ship new features Ensure features are scalable, performant, secure, and user friendly Write clean, maintainable, and efficient code, participate in code reviews, and maintain documentation What We Look For 5+ years of software engineering experience Full stack background, with a strong focus on React and TypeScript Excited about learning new things and flexing across the stack as the team evolves Highly productive, able to take ownership of key initiatives and deliver results Experience leading teams or projects and enjoy helping others level up their skills Able to work from our offices in San Francisco or New York City Interview Process After the initial screen, you can expect 4-6 hours of onsite or virtual interviews, followed by reference checks. Compensation Range: $150,000 - $200,000 - yr Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology
Principal Software Engineer, ML Flywheel Technical Lead
Waymo San Francisco, California
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
04/05/2026
Full time
Overview Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. Every mile driven by a Waymo car is a unique and valuable piece of data that can be leveraged into improving our machine learning models, and ultimately the safety and capabilities of the Waymo Driver. Charting the path from collection of a piece of data, to curation, (auto-)labeling, model training and evaluation, all the way to model deployment and monitoring is a process of continuous scaling and quality improvement of the entire ML lifecycle. The Area Technical Lead for the Waymo machine learning flywheel is responsible for architecting, connecting, automating and improving the entire span of this self-improvement process in close collaboration with Waymo's infrastructure, modeling and evaluation teams. They are directly accountable to Waymo's leadership for the organization's ML data strategy and its impact on Driver quality. You will report directly to our Distinguished Engineer, Foundation Models. Responsibilities Architect a path towards every autonomous mile driven by a Waymo car to be automatically incorporated into an automated data-driven self-improvement loop for the Waymo Driver. Enable a data flywheel to serve the demands of scalable pre-training, post-training targeted to relevant critical behaviors, as well as Driver simulation and validation. Enable a modeling flywheel to efficiently consume that data to reliably generate updated models that are validated and deployable with minimal human toil. Coordinate cross-functional efforts in partnership with data and ML infrastructure teams, resource planning, logging infrastructure, modeling and validation teams to accelerate the velocity, impact and leverage of driving data on the Waymo Driver. Act as the steward of data quality, by providing tooling and metrics to evaluate the impact of mining, selection and curation on the modeling pipeline performance. Articulate the strategy for incorporating diverse data sources, including third-party and synthetic data into that improvement flywheel. Drive innovation across all axes of performance and efficiency, from Driver quality, to scalability, cost, engineering velocity, model architecture and performance. Qualifications Master's degree or PhD in Computer Science, Engineering, or a related technical field 10+ years of experience in ML model development, and you have 2+ years experience with large-scale vision, video, or multi-modal foundation model development and their integration in end-to-end models 6+ years of experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment 6+ years of experience in a technical leadership role leading technical teams and setting technical directions in large ML Engineering organizations Demonstrated expertise in large-scale machine learning and its key components: pre-training, post-training, and validation. Deep understanding of both infrastructure and quality aspects. Track record of architecting and standing up a machine learning flywheel at scale for mission critical applications. Experience with driving model quality improvements through systematic data scaling and curation. Communication and interpersonal skills. Ability to inspire, influence and coordinate across functions and disciplines. We Prefer PhD in computer science. Experience in multi-modal LLM model development, and their infrastructure. Familiarity with multi-task, end-to-end models and their development challenges. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $332,000-$421,000 USD
Software Engineer - New Grad (2026 Start)
The Rundown AI, Inc. San Francisco, California
Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
04/05/2026
Full time
Overview At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Impact You Will Have Work with a team to build features and improve architecture for the Databricks platform Develop and extend the Databricks product Own full software development lifecycle: design, development, testing, and operating in production Build solutions with a high level of reliability, scalability, and security. What We Look For You will graduate between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have knowledge of algorithms, data structures, and OOP principles You have experience managing end-to-end projects We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Software Engineer, Platform
Glean San Francisco, California
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
04/05/2026
Full time
About Glean Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business-without vendor lock in or costly implementation cycles. About the Role Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost effective infrastructure across all clouds. You'll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you'll be responsible for critical pieces of Glean's infrastructure, working closely with several other teams to support their workloads. You Will Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond Provide leadership and mentor more junior engineers Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions Write robust code that's efficient, easy to read, maintain and test About You Bachelor's degree (or equivalent) in Computer Science or related field 3+ years of experience in a role working with AWS and/or GCP IaaS services (compute, object storage, IAM, networking, VPC) Experience with Terraform, Kubernetes (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/PubSub/SQS), ML Pipelines, Object Storage (S3/GCS), BigQuery, etc. is a plus Experience managing large scale cloud infrastructure with IaC Highly proficient with modern Unix/Linux operating systems/distributions Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks Adaptable. Goals can change fast. You anticipate and react quickly Autonomous. You own what you work on. You move fast and get things done Excellent communication. You will need to communicate complex ideas effectively to both technical and non technical audiences, both verbally and in writing Collaborative. You must work collaboratively in a cross functional team and with people at all levels in an organization Location This role is hybrid (3 4 days a week in one of our SF Bay Area offices) Compensation & Benefits The standard base salary range for this position is $140,000-$265,000 annually. Compensation will be determined by factors such as location, level, job related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, a generous time off policy, and the opportunity to contribute to a 401(k) plan. You'll receive a home office improvement stipend and annual education and wellness stipends to support your growth and well being. We foster a vibrant company culture through regular events and provide healthy lunches daily. EEO Statement We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We are committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Software Development
Lead / Principal Software Engineer - (Onsite) Washington DC, Philadelphia, or Wilmington DE
Amtrak Washington, Washington DC
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
04/05/2026
Full time
Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. Opportunities: Lead & Principal Software Engineers for Digital Technology Role is based in Washington DC. Requests for Remote work will be reviewed but not guaranteed. Amtrak will be hiring experienced Software Engineers to support our Digital Technology (DT) organization. Open positions may include: Lead Software Engineer Principal Software Engineer Opportunities will exist across several Digital Technology teams supporting enterprise applications, cloud modernization, system integrations, and enhancements to core technology platforms. These engineering roles may support: Development of high-quality software systems Full-stack application development and architecture Cloud engineering and platform services API and microservices design Enhancements to enterprise systems (including SAP and related platforms) Mainframe/TPF modernization efforts Application support, testing, and deployment coordination Collaboration with business analysts, architects, and product teams to translate requirements into technical solutions If you would like to be considered for upcoming Software Engineering positions, please apply here. Minimum Qualifications Bachelor's Degree or equivalent combination of education, training and/or relevant experience. Plus 6 years of relevant work experience. Essential Functions Lead the design, development, and deployment of enterprise-grade applications using Java, Spring Frameworks, and Angular. Architect and implement cloud-native solutions leveraging AWS services and container orchestration with Kubernetes. Drive best practices in Agile development, CI/CD pipelines, and DevOps tooling (Jenkins, Git, Docker). Collaborate with cross-functional teams to ensure high-quality deliverables aligned with business objectives. Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies to maintain robust and reliable code. Optimize application performance and scalability through effective database design and query tuning in PostgreSQL or other relational databases. Provide technical leadership, mentorship, and guidance to junior engineers and peers. Ensure compliance with security standards and industry best practices throughout the software development lifecycle. Preferred Qualifications Experience developing or modifying Java software applications and related technologies (Core Java, Spring Boot, Kafka, Node.js, Python, etc) Strong understanding of core internet technologies (HTTP, REST, database fundamentals, data modeling) Proficiency in SQL Server, Oracle, or similar relational databases Experience with frontend, backend, mobile, cloud services (AWS, Azure, GCP), DevOps (Jenkins, Kubernetes, Docker), or a combination of these Ability to define, design, and implement integration plans Familiarity with Agile methodologies (SCRUM, SAFe) Architecture & Leadership (especially for Principal level) Ability to articulate complex architectures in actionable terms Experience serving as a point of escalation for technical issue resolution Ability to support or lead architectural decision-making Strong documentation and communication skills Experience mentoring or guiding engineering teams Additional Profile Strengths Broad understanding of information systems and application architecture standards Experience with system maintenance, enhancements, or production support Ability to work under deadlines and manage changing priorities Knowledge, Skills, and Abilities Proficient in Java, Spring Core, Spring Boot, Spring MVC, Spring Batch, and Spring Integration. Strong front-end development skills with Angular (latest versions), JavaScript, TypeScript, HTML5, CSS3, Bootstrap, and Material UI. Deep understanding of AWS cloud services and cloud-native application architecture. Solid experience with SQL/PostgreSQL and relational database design. Hands-on experience with Agile methodologies, CI/CD pipelines, and DevOps tools (Jenkins, Git, Docker, Kubernetes). Familiarity with Jira and Confluence for project tracking and documentation. Strong knowledge of TDD and BDD principles. Excellent problem-solving and analytical skills. Strong communication and interpersonal abilities to collaborate effectively with stakeholders. Proven leadership experience in guiding teams and delivering complex projects. The salary/hourly range is $103,700 - $134,460 for the Lead Software Engineer and $124,600 - $161,352 for the Principal Software Engineer. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Requisition ID: 165702 Work Arrangement: 06-Onsite 4/5 Days for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% Recruiter Name: Joshua Popejoy Recruiter Email: recruiterEmail You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. 1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
Senior Software Engineer
Prime Team Partners Seattle, Washington
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. 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 Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/05/2026
Full time
Get AI-powered advice on this job and more exclusive features. This range is provided by Prime Team Partners. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $150,000.00/yr - $175,000.00/yr Senior Software Engineer Location: Hybrid (1-2x a week onsite) in Bellevue, WA Position Type: Full-Time Compensation: $150K-175K, DOE We are seeking a skilled Senior Software Engineer to lead the modernization of legacy systems while driving innovation in new solutions. This role emphasizes hands-on development, system optimization, and collaboration with cross-functional teams. This company is experiencing rapid growth with a unique product and innovative solutions for their customers. Work on meaningful, mission-driven projects in a collaborative environment with opportunities for autonomy, growth, and leadership. Responsibilities: Modernize and refactor legacy systems for scalability and performance. Design and implement new features and integrations. Work across the stack, focusing on .NET and diverse modern technologies. Solve complex technical challenges and ensure high code quality. Collaborate with stakeholders to align solutions with business goals. Qualifications: Experience with cloud platforms (AWS, Azure, or GCP), containerization, and database optimization. Strong problem-solving and system design skills. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws. 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 Prime Team Partners by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Software Engineer" roles. Seattle, WA $99,000.00-$124,200.00 3 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Redmond, WA $84,200.00-$180,400.00 6 days ago Seattle, WA $99,500.00-$200,000.00 1 day ago Front End Software Engineering II, Slack Seattle, WA $157,600.00-$236,500.00 2 days ago Seattle, WA $100,000.00-$720,000.00 4 days ago Seattle, WA $117,760.00-$147,200.00 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Seattle, WA $110,400.00-$138,000.00 2 days ago Seattle, WA $90,000.00-$170,000.00 3 days ago Software Engineer, Research Infrastructure (University Grad) Seattle, WA $140,000.00-$180,000.00 1 month ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $99,500.00-$200,000.00 2 weeks ago Software Development Engineer - 2025 (US) Seattle, WA $99,500.00-$200,000.00 1 week ago Redmond, WA $99,500.00-$200,000.00 3 days ago Seattle, WA $150,000.00-$158,000.00 7 hours ago Bellevue, WA $157,000.00-$230,000.00 1 week ago Seattle, WA $150,500.00-$269,200.00 2 weeks ago Seattle, WA $90,000.00-$180,000.00 1 week ago Seattle, WA $98,900.00-$228,700.00 1 week ago Seattle, WA $150,000.00-$175,000.00 2 months ago Bellevue, WA $157,000.00-$230,000. hours ago Seattle, WA $91,158.00-$139,222.66 1 week ago Seattle, WA $140,000.00-$180,000.00 1 month ago Redmond, WA $100,600.00-$215,400.00 2 days ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Senior Software Engineer
Xometry Boston, Massachusetts
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you'll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services. Responsibilities You will be responsible for designing, coding, testing, and releasing software Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross functional team Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on call rotation Work in an environment that supports your individual growth Qualifications Required: 5+ years of experience in a fast paced technical, problem solving environment as a full stack software developer Required: Demonstrable understanding of software engineering fundamentals Required: Knowledge of HTML, CSS, DOM web programming Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions Desired: Demonstrated knowledge of principles of service oriented architectures and ability to lead efforts in defining and implementing a service strategy Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding Required: Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills Location: Boston, MA Seniority Level: Mid Senior level Employment Type: Full time Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E Verify and after a job offer is accepted, will provide the federal government with your Form I 9 information to confirm that you are authorized to work in the U.S.
04/05/2026
Full time
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you'll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services. Responsibilities You will be responsible for designing, coding, testing, and releasing software Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross functional team Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on call rotation Work in an environment that supports your individual growth Qualifications Required: 5+ years of experience in a fast paced technical, problem solving environment as a full stack software developer Required: Demonstrable understanding of software engineering fundamentals Required: Knowledge of HTML, CSS, DOM web programming Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions Desired: Demonstrated knowledge of principles of service oriented architectures and ability to lead efforts in defining and implementing a service strategy Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding Required: Attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills Location: Boston, MA Seniority Level: Mid Senior level Employment Type: Full time Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E Verify and after a job offer is accepted, will provide the federal government with your Form I 9 information to confirm that you are authorized to work in the U.S.
Healthcare Platform Lead - Senior Principal Software Engineer
Tendo Systems San Francisco, California
An innovative company is seeking a Senior Principal Software Engineer to lead a dynamic team in developing next-generation healthcare software. This role offers the chance to work on impactful projects that enhance patient and clinician experiences. The ideal candidate will have extensive full stack experience, particularly in Cloud Native applications, and will thrive in an Agile environment. Join a mission-driven team recognized as a top startup employer and contribute to creating seamless, user-friendly healthcare solutions. If you're passionate about technology and want to make a difference, this opportunity is for you!
04/05/2026
Full time
An innovative company is seeking a Senior Principal Software Engineer to lead a dynamic team in developing next-generation healthcare software. This role offers the chance to work on impactful projects that enhance patient and clinician experiences. The ideal candidate will have extensive full stack experience, particularly in Cloud Native applications, and will thrive in an Agile environment. Join a mission-driven team recognized as a top startup employer and contribute to creating seamless, user-friendly healthcare solutions. If you're passionate about technology and want to make a difference, this opportunity is for you!
Software Developer (AI/ML Focus)
Dreki Systems San Francisco, California
Company Overview Dreki Systems, LLC (Dreki) is a fast-growing technology development company focused on building next generation technologies for extreme and challenging environments. Our ongoing projects span drones for Earth science, robotic arms, smart battery systems, small satellite platforms, and advanced space weather monitoring tools. We are looking for a passionate and capable Software Developer to join our dynamic engineering team and help us develop intelligent, scalable, and mission critical technology. Because Dreki plans to bid on government work, all applicants must be US citizens who are eligible for a security clearance. Job Description As a Software Developer at Dreki, you will play a vital role in building core software systems and technologies that power our aerial, robotic, and space based platforms. Your work will involve full cycle software development - from system design and data pipelines to AI/ML model integration and embedded software deployment. The successful candidate will be driven by curiosity, eager to work across multidisciplinary domains, and excited about deploying their code in the real world - on drones, robotic arms, satellites, and scientific payloads that will make a real difference. What You'll Be Working On Real time drone control software integrating sensor fusion and autonomous navigation AI/ML pipelines for robotic arm self calibration and predictive torque control Web dashboards for live satellite telemetry and environmental data Smart battery management systems with embedded AI for fault detection Space weather analysis tools using time series ML models and scientific data feeds Custom software stacks to interface with hardware we design in house Key Responsibilities Design, develop, test, and deploy software for robotic platforms, drones, and embedded systems Implement AI/ML pipelines for predictive control, sensor fusion, object detection, anomaly detection, and data analytics Collaborate with electrical, mechanical, and aerospace engineers to ensure seamless system integration Develop simulation environments (e.g., Gazebo, PX4 SITL, ROS) to test control algorithms and mission logic Build web or desktop interfaces for mission control and data visualization Work with APIs and hardware communication protocols (e.g., CAN, UART, SPI, I2C, MAVLink) Optimize performance of onboard computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, STM32) Maintain codebases, documentation, and CI/CD pipelines for software deployments Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field United States citizenship is required, with eligibility to apply for a government security clearance Proficiency in Python and C/C++ (especially for embedded systems or high performance applications) Strong understanding of software design patterns, version control (Git), and testing practices Experience with one or more of the following frameworks/tools: AI/ML: TensorFlow, PyTorch, Scikit learn Robotics/Drones: ROS/ROS2, PX4, ArduPilot, MAVSDK Web/UI: Flask, FastAPI, React, Qt Knowledge of Linux based systems and Docker environments Demonstrated ability to work independently and deliver end to end solutions Preferred Qualifications 2-3 years of professional experience in software development Familiarity with edge computing and deploying AI models on embedded devices Familiarity with AI/ML architectures such as CNNs, RNNs, LSTM/BiLSTM and other neural network models relevant to robotics, drone control, and sensor data processing Experience working with sensor data (IMU, LiDAR, GPS, cameras, etc.) Contributions to open source projects or research in AI/robotics Experience transitioning products to customers (conversion of R&D software to product integration, version control, customer feedback incorporation, training documentation, etc.) Project management skills (work breakdown structures, risk management, Gantt Chart construction) What We're Looking for in You Curiosity and willingness to learn new tools, technologies, and domains Strong communication and collaboration skills across engineering disciplines A portfolio of past projects that demonstrates depth and ownership Passion for innovation in aerospace, robotics, or sustainability Ability to prototype quickly and iterate based on real world constraints Openness to contributing beyond software - system design, testing, deployment Ways to Stand Out from the Crowd Demonstrated work on physical systems (e.g., robots, drones, satellites) Publications or research projects in AI/ML, robotics, or space tech GitHub repositories showcasing clean, modular code and documentation Past experience in a startup, lab, or cross functional technical team Enthusiasm for space, Earth systems, or sustainability missions Salary & Benefits Salary: $90k - 115k / year base Premium Free top of the line health, dental and vision insurance benefits (85% paid for spouses, domestic partners, dependents) 18 days paid vacation, 12 paid holidays, 5 days sick leave How to Apply Please include both a resume and a cover letter in one PDF document when applying to this role.
04/05/2026
Full time
Company Overview Dreki Systems, LLC (Dreki) is a fast-growing technology development company focused on building next generation technologies for extreme and challenging environments. Our ongoing projects span drones for Earth science, robotic arms, smart battery systems, small satellite platforms, and advanced space weather monitoring tools. We are looking for a passionate and capable Software Developer to join our dynamic engineering team and help us develop intelligent, scalable, and mission critical technology. Because Dreki plans to bid on government work, all applicants must be US citizens who are eligible for a security clearance. Job Description As a Software Developer at Dreki, you will play a vital role in building core software systems and technologies that power our aerial, robotic, and space based platforms. Your work will involve full cycle software development - from system design and data pipelines to AI/ML model integration and embedded software deployment. The successful candidate will be driven by curiosity, eager to work across multidisciplinary domains, and excited about deploying their code in the real world - on drones, robotic arms, satellites, and scientific payloads that will make a real difference. What You'll Be Working On Real time drone control software integrating sensor fusion and autonomous navigation AI/ML pipelines for robotic arm self calibration and predictive torque control Web dashboards for live satellite telemetry and environmental data Smart battery management systems with embedded AI for fault detection Space weather analysis tools using time series ML models and scientific data feeds Custom software stacks to interface with hardware we design in house Key Responsibilities Design, develop, test, and deploy software for robotic platforms, drones, and embedded systems Implement AI/ML pipelines for predictive control, sensor fusion, object detection, anomaly detection, and data analytics Collaborate with electrical, mechanical, and aerospace engineers to ensure seamless system integration Develop simulation environments (e.g., Gazebo, PX4 SITL, ROS) to test control algorithms and mission logic Build web or desktop interfaces for mission control and data visualization Work with APIs and hardware communication protocols (e.g., CAN, UART, SPI, I2C, MAVLink) Optimize performance of onboard computing platforms (e.g., NVIDIA Jetson, Raspberry Pi, STM32) Maintain codebases, documentation, and CI/CD pipelines for software deployments Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field United States citizenship is required, with eligibility to apply for a government security clearance Proficiency in Python and C/C++ (especially for embedded systems or high performance applications) Strong understanding of software design patterns, version control (Git), and testing practices Experience with one or more of the following frameworks/tools: AI/ML: TensorFlow, PyTorch, Scikit learn Robotics/Drones: ROS/ROS2, PX4, ArduPilot, MAVSDK Web/UI: Flask, FastAPI, React, Qt Knowledge of Linux based systems and Docker environments Demonstrated ability to work independently and deliver end to end solutions Preferred Qualifications 2-3 years of professional experience in software development Familiarity with edge computing and deploying AI models on embedded devices Familiarity with AI/ML architectures such as CNNs, RNNs, LSTM/BiLSTM and other neural network models relevant to robotics, drone control, and sensor data processing Experience working with sensor data (IMU, LiDAR, GPS, cameras, etc.) Contributions to open source projects or research in AI/robotics Experience transitioning products to customers (conversion of R&D software to product integration, version control, customer feedback incorporation, training documentation, etc.) Project management skills (work breakdown structures, risk management, Gantt Chart construction) What We're Looking for in You Curiosity and willingness to learn new tools, technologies, and domains Strong communication and collaboration skills across engineering disciplines A portfolio of past projects that demonstrates depth and ownership Passion for innovation in aerospace, robotics, or sustainability Ability to prototype quickly and iterate based on real world constraints Openness to contributing beyond software - system design, testing, deployment Ways to Stand Out from the Crowd Demonstrated work on physical systems (e.g., robots, drones, satellites) Publications or research projects in AI/ML, robotics, or space tech GitHub repositories showcasing clean, modular code and documentation Past experience in a startup, lab, or cross functional technical team Enthusiasm for space, Earth systems, or sustainability missions Salary & Benefits Salary: $90k - 115k / year base Premium Free top of the line health, dental and vision insurance benefits (85% paid for spouses, domestic partners, dependents) 18 days paid vacation, 12 paid holidays, 5 days sick leave How to Apply Please include both a resume and a cover letter in one PDF document when applying to this role.
Harnham
Artificial Intelligence Engineer
Harnham Long Beach, California
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Software Engineer, Statistical Evaluation and Sampling
Waymo San Francisco, California
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL. Performing statistical analyses. Building data processing pipelines. Writing, reviewing, and merging code following industry standards for code health and maintainability. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD
04/05/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL. Performing statistical analyses. Building data processing pipelines. Writing, reviewing, and merging code following industry standards for code health and maintainability. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD
Full Stack Engineer (Crypto x AI)
Hyphen Connect San Francisco, California
We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front end interfaces and back end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full stack development experience, proficient in both front end and back end technologies. Expertise in front end and back end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agents. Experience contributing to open source projects. Build high performance APIs and microservices to support large scale Web3 application. Familiarity with large scale data processing technologies such as Hadoop or Spark.
04/05/2026
Full time
We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future. Key Responsibilities Design and implement AI platforms, encompassing both front end interfaces and back end services. Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization. Deploy AI models into production environments, ensuring performance, scalability, and reliability. Develop and maintain data processing pipelines to ensure data quality and consistency. Stay updated on AI technology trends, advocating for the integration of new technologies into our products. Contribute to other projects based on the company's product development progress. Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field. 5 years of full stack development experience, proficient in both front end and back end technologies. Expertise in front end and back end technologies (especially Golang). Eager to explore and could use new technologies related to AI that help improve working efficiency. Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation. Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations. Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative. Preferred Qualifications Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB. Experience in deploying and optimizing AI agents. Experience contributing to open source projects. Build high performance APIs and microservices to support large scale Web3 application. Familiarity with large scale data processing technologies such as Hadoop or Spark.

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