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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.
Senior Principal Software Engineer
Tendo Systems
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $156,400-$211,600 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
04/05/2026
Full time
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $156,400-$211,600 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
Senior Frontend Engineer - Core Scribd (React)
Scribd, Inc. San Francisco, California
Company Overview Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in person moments that strengthen collaboration and culture. Occasional in person attendance is required for all Scribd, Inc. employees, regardless of location. At Scribd, Inc., we hire for "GRIT." Traditionally defined as the intersection of passion and perseverance toward long term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. About The Team And Role Shape the core experience for 10M+ daily readers. Join the team behind Scribd's primary reading experience and directly impact how millions of users explore and learn from our 300,000+ document corpus. Experiment at the intersection of product and AI. Partner closely with Product, Design, and AI/ML teams to rapidly prototype and launch experiments that elevate engagement and comprehension on the document reading page. Build new creation experiences from 0 1. Help develop innovative tools that empower users to synthesize research and produce study guides, presentations, and documents - all enhanced by generative AI. Improve SEO and AEO. Work with our SEO PM to improve search and answer engine traffic to the Core Scribd pages. Modernize our tech stack for the future. Lead efforts to decompose our Ruby on Rails monolith into a modern, modular Microfrontend architecture powered by Next.js and a distributed backend. As a Senior Frontend Engineer on the Core Scribd team, you'll contribute to building and maintaining both the frontend powering Scribd's document reading page. You'll work on features that help users on a research journey find and parse the right document. This is a unique opportunity to work across a wide surface area from React based UI to distributed backend services in collaboration with product, design, AI/ML and infrastructure teams. A major focus for this team in 2026 is Web Modernization: migrating our legacy Doc Page SPA to a Next.js powered Microfrontend architecture, enabling faster iteration, safer scaling, and long term confidence in how Scribd's web product evolves. Key Attributes You are comfortable working cross functionally with PM, Data, Design, QE, MLE, backend engineers You can handle coordinating across backend teams, ML teams, data teams, and platform teams You have high customer empathy You build for the long term, you can reason about frontend architecture at scale You make trade offs based on available data, and you are able to communicate those trade offs/decisions clearly and succinctly Requirements Strong understanding of modern JavaScript frameworks, especially React. 5+ years of experience working across the front end stack, especially React. Familiarity of AWS cloud infrastructure and CI/CD pipelines. Understanding of performance, accessibility, and SEO principles across the stack. Strong collaboration skills, with the ability to work closely with design, product, and other engineering teams. A thoughtful approach to code quality, maintainability, and documentation. Compensation In the state of California, the reasonably expected salary range is between $146,000 (minimum salary in our lowest geographic market within California) to $227,500 (maximum salary in our highest geographic market within California). In the United States, outside of California, the reasonably expected salary range is between $120,000 (minimum salary in our lowest US geographic market outside of California) to $216,500 (maximum salary in our highest US geographic market outside of California). In Canada, the reasonably expected salary range is between $152,500 CAD (minimum salary in our lowest geographic market) to $194,500 CAD (maximum salary in our highest geographic market). This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, Inc. Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States Atlanta Austin Boston Dallas Denver Chicago Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C. Canada Ottawa Toronto Vancouver Mexico Mexico City Benefits At Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Equal Employment Opportunity We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
04/05/2026
Full time
Company Overview Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in person moments that strengthen collaboration and culture. Occasional in person attendance is required for all Scribd, Inc. employees, regardless of location. At Scribd, Inc., we hire for "GRIT." Traditionally defined as the intersection of passion and perseverance toward long term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. About The Team And Role Shape the core experience for 10M+ daily readers. Join the team behind Scribd's primary reading experience and directly impact how millions of users explore and learn from our 300,000+ document corpus. Experiment at the intersection of product and AI. Partner closely with Product, Design, and AI/ML teams to rapidly prototype and launch experiments that elevate engagement and comprehension on the document reading page. Build new creation experiences from 0 1. Help develop innovative tools that empower users to synthesize research and produce study guides, presentations, and documents - all enhanced by generative AI. Improve SEO and AEO. Work with our SEO PM to improve search and answer engine traffic to the Core Scribd pages. Modernize our tech stack for the future. Lead efforts to decompose our Ruby on Rails monolith into a modern, modular Microfrontend architecture powered by Next.js and a distributed backend. As a Senior Frontend Engineer on the Core Scribd team, you'll contribute to building and maintaining both the frontend powering Scribd's document reading page. You'll work on features that help users on a research journey find and parse the right document. This is a unique opportunity to work across a wide surface area from React based UI to distributed backend services in collaboration with product, design, AI/ML and infrastructure teams. A major focus for this team in 2026 is Web Modernization: migrating our legacy Doc Page SPA to a Next.js powered Microfrontend architecture, enabling faster iteration, safer scaling, and long term confidence in how Scribd's web product evolves. Key Attributes You are comfortable working cross functionally with PM, Data, Design, QE, MLE, backend engineers You can handle coordinating across backend teams, ML teams, data teams, and platform teams You have high customer empathy You build for the long term, you can reason about frontend architecture at scale You make trade offs based on available data, and you are able to communicate those trade offs/decisions clearly and succinctly Requirements Strong understanding of modern JavaScript frameworks, especially React. 5+ years of experience working across the front end stack, especially React. Familiarity of AWS cloud infrastructure and CI/CD pipelines. Understanding of performance, accessibility, and SEO principles across the stack. Strong collaboration skills, with the ability to work closely with design, product, and other engineering teams. A thoughtful approach to code quality, maintainability, and documentation. Compensation In the state of California, the reasonably expected salary range is between $146,000 (minimum salary in our lowest geographic market within California) to $227,500 (maximum salary in our highest geographic market within California). In the United States, outside of California, the reasonably expected salary range is between $120,000 (minimum salary in our lowest US geographic market outside of California) to $216,500 (maximum salary in our highest US geographic market outside of California). In Canada, the reasonably expected salary range is between $152,500 CAD (minimum salary in our lowest geographic market) to $194,500 CAD (maximum salary in our highest geographic market). This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, Inc. Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States Atlanta Austin Boston Dallas Denver Chicago Houston Jacksonville Los Angeles Miami New York City Phoenix Portland Sacramento Salt Lake City San Diego San Francisco Seattle Washington D.C. Canada Ottawa Toronto Vancouver Mexico Mexico City Benefits At Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Equal Employment Opportunity We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing about the need for adjustments at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
Staff Machine Learning Engineer - AI Imaging
Discover International
Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International
04/05/2026
Full time
Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International
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.
Technology Design Consulting Lead - Remote
Allbridge
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high-density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. We are seeking an experienced Technology Design Consulting Lead to drive high-impact client engagements at the intersection of emerging technologies, user-centered design, and strategic business outcomes. This senior leadership role combines deep technical expertise, design thinking leadership, and consulting acumen to guide cross-functional teams in delivering innovative, scalable technology-enabled solutions for our Hospitality and Multi-family clients The ideal candidate is a strategic thinker who excels at translating complex business challenges into elegant, feasible technology + design strategies, while leading talented consultants, designers, and technologists to exceptional delivery. Key Responsibilities Lead end-to-end consulting engagements focused on technology design, Plan Reviews, product/service innovation, and experience strategy Define and oversee technology architecture, interaction design frameworks, and design systems that align with client business goals and technical constraints Guide clients through discovery, ideation, prototyping, and implementation phases, blending human-centered design methods with modern technology evaluation and road mapping Work with high-performing consulting teams (designers, technologists, strategists, PMs), fostering a culture of collaboration, innovation, and excellence Conduct technical and design reviews, risk assessments, and quality assurance across multiple concurrent projects Develop compelling proposals, statements of work, and executive-level presentations to win new business and expand existing accounts Stay ahead of industry trends in emerging technologies (Wifi/Networks, Access Control, CCTV, Audio Visual, Smart IoT) and their application to design-led outcomes Partner closely with client C-suite and senior stakeholders to shape vision, secure buy-in, and measure impact through clear success metrics Contribute to internal practice development: thought leadership, methodology refinement, IP creation, and sales enablement materials Ensure projects are delivered on time, within budget, and to the highest standards of quality and client satisfaction Review design drawing change logs to verify changes have been documented. Qualifications & Experience 5+ years of progressive experience in technology consulting and/or sales engineering with Hospitality and Multi-family technologies Proven track record leading complex technology + design initiatives that delivered measurable business value (e.g., improved user adoption, revenue growth, operational efficiency) Extensive project management skills, ensuring client deliverables are provided on-time as the projects progress. Strong portfolio showcasing work across digital products, services, platforms, or experience ecosystems Technical & Design Expertise Deep understanding of modern technology stacks in Hospitality and MDU Fluency in Bluebeam, Smartsheets, notetaking, Excel Experience bridging design and engineering - ability to translate between creative vision and technical feasibility Soft Skills & Attributes Exceptional client-facing communication and storytelling skills - able to influence executives and inspire teams Strategic mindset with strong business acumen and commercial awareness Comfortable with ambiguity; thrives in fast-paced, high-stakes consulting environments Natural leader who builds trust, motivates others, and drives accountability Intellectual curiosity and commitment to continuous learning Workplace Benefits We Offer In addition to earnings and other incentives, Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Work culture supportive of diversity and inclusion Equal Opportunity Employer Statement: Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PI44365fd6-
04/05/2026
Full time
Company Overview Allbridge is the leading supplier of world class connected technology solutions, services, and support for high-density properties. With more than 35 years of continuous growth and industry experience, Allbridge supports technology in over one million rooms, in 8,000 properties, across North America and the Caribbean, including hotels, resorts, senior-living communities, condominiums, multifamily developments, and mixed-use properties. We are seeking an experienced Technology Design Consulting Lead to drive high-impact client engagements at the intersection of emerging technologies, user-centered design, and strategic business outcomes. This senior leadership role combines deep technical expertise, design thinking leadership, and consulting acumen to guide cross-functional teams in delivering innovative, scalable technology-enabled solutions for our Hospitality and Multi-family clients The ideal candidate is a strategic thinker who excels at translating complex business challenges into elegant, feasible technology + design strategies, while leading talented consultants, designers, and technologists to exceptional delivery. Key Responsibilities Lead end-to-end consulting engagements focused on technology design, Plan Reviews, product/service innovation, and experience strategy Define and oversee technology architecture, interaction design frameworks, and design systems that align with client business goals and technical constraints Guide clients through discovery, ideation, prototyping, and implementation phases, blending human-centered design methods with modern technology evaluation and road mapping Work with high-performing consulting teams (designers, technologists, strategists, PMs), fostering a culture of collaboration, innovation, and excellence Conduct technical and design reviews, risk assessments, and quality assurance across multiple concurrent projects Develop compelling proposals, statements of work, and executive-level presentations to win new business and expand existing accounts Stay ahead of industry trends in emerging technologies (Wifi/Networks, Access Control, CCTV, Audio Visual, Smart IoT) and their application to design-led outcomes Partner closely with client C-suite and senior stakeholders to shape vision, secure buy-in, and measure impact through clear success metrics Contribute to internal practice development: thought leadership, methodology refinement, IP creation, and sales enablement materials Ensure projects are delivered on time, within budget, and to the highest standards of quality and client satisfaction Review design drawing change logs to verify changes have been documented. Qualifications & Experience 5+ years of progressive experience in technology consulting and/or sales engineering with Hospitality and Multi-family technologies Proven track record leading complex technology + design initiatives that delivered measurable business value (e.g., improved user adoption, revenue growth, operational efficiency) Extensive project management skills, ensuring client deliverables are provided on-time as the projects progress. Strong portfolio showcasing work across digital products, services, platforms, or experience ecosystems Technical & Design Expertise Deep understanding of modern technology stacks in Hospitality and MDU Fluency in Bluebeam, Smartsheets, notetaking, Excel Experience bridging design and engineering - ability to translate between creative vision and technical feasibility Soft Skills & Attributes Exceptional client-facing communication and storytelling skills - able to influence executives and inspire teams Strategic mindset with strong business acumen and commercial awareness Comfortable with ambiguity; thrives in fast-paced, high-stakes consulting environments Natural leader who builds trust, motivates others, and drives accountability Intellectual curiosity and commitment to continuous learning Workplace Benefits We Offer In addition to earnings and other incentives, Allbridge offers a comprehensive package of benefits, based on eligibility, typically for regular, full-time positions, some of which includes: Medical and Prescription options, Dental, Orthodontics and Vision Plans Rich HSA company-funded options and Flexible Spending accounts 100% Company paid premiums for Short Term Disability Life and Accidental Death and Dismemberment insurance Plan options Supplemental Insurance Plan options 401(k) Profit-Sharing Retirement plan Flexible Paid Time Off after 60 days of employment Paid Holidays, per Employee Handbook Work culture supportive of diversity and inclusion Equal Opportunity Employer Statement: Allbridge is an Equal Opportunity Employer. Allbridge does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. PI44365fd6-
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.
Remote Senior Software Engineer
Turing San Francisco, California
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview What Does a Typical Day Look Like? Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Remote Senior Software Engineer
Turing Boston, Massachusetts
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
04/05/2026
Full time
Project Overview Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Typical Day Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. Build agents that can verify the quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Excellent oral and written communication skills for clear, structured evaluation rationales. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, ) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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
Staff Site Reliability Engineer - Data Center
PathAI Boston, Massachusetts
Overview PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. Annual Pay Annual Pay Range $165,750 - $224,450 Not Overtime Eligible Eligible for Equity
04/05/2026
Full time
Overview PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. What You'll Do If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. What You Bring Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need: 8+ years of relevant experience. Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang). You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus). You've worked with infrastructure as code (Terraform/Cloudformation). You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems). You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS). Familiarity with modern network designs and comfort operating across network layers. Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM). Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges. A bachelor's degree in Computer Science or equivalent experience. An insatiable intellectual curiosity and the ability to learn quickly in a complex space. Travel: Willingness to travel up to 25% of the time. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. Annual Pay Annual Pay Range $165,750 - $224,450 Not Overtime Eligible Eligible for Equity
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!
Senior Principal Software Engineer
Tendo Systems San Francisco, California
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $170,000-$230,000 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
04/05/2026
Full time
We are looking for a software engineering leader who is passionate about creating next-generation healthcare software that will dramatically improve the lives of patients, clinicians, and caregivers. This person will have the opportunity to lead a team through early stages of product development, while contributing some code of their own and continuing to grow their own skill set. The ideal candidate has full stack experience building SaaS and/or Cloud Native software for a regulated industry. Additionally, the Senior Principal Software Engineer will bring deep expertise in one or more technologies including distributed microservice architecture, Go, Ent, gRPC, Twirp, and/or AWS technologies like EventBridge and Aurora. Sharing knowledge and mentoring members of a growing team will be key. The Senior Principal Software Engineer should enjoy leading in an Agile collaborative environment with product managers, designers, external partners, and other engineers working together to build a high quality, consumer-oriented product from the ground up. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for 2024. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Translate abstract concepts into tangible tooling solutions that enhance the organization's ability to build customer-facing applications with improved structure and extensibility. Lead performance enhancement and optimization efforts to ensure our microservices and applications can support 10K+ users. Lead a team of engineers responsible for architecting, building, documenting, testing, and debugging a large consumer-facing application with significant daily usage. Serve as technical owner and subject matter expert for more than one service area. Collaborate closely with product owners and designers to understand user needs and lead the translation of wireframes and other requirements into technical requirements and detailed architecture. Maintain relationships with other teams to help ensure consistency in some key areas like architecture. Learn and use Go and potentially other back-end languages, along with technologies and frameworks like gRPC/Twirp, Ent, and various AWS technologies, to produce, modify, and maintain APIs, microservices, event streams/queues, and similar. Write automated tests for all code and use Behavior Driven Development practices. Write infrastructure as code using Serverless Framework. Perform code review and enhance the team's code review practices as needed. Provide expertise in Web, API, database, and/or cloud technologies and frameworks, including React, TypeScript, Go, gRPC, Twirp, Ent, Serverless Framework, and/or AWS technologies like EventBridge and Aurora. Provide guidance, mentorship, and subject matter expertise to other team members. Lead creation of technical documentation describing architecture decisions. Identify and evaluate new technologies and frameworks that may need to be added to our stack. Support and implement the latest standards in securing data to meet HIPAA requirements. Requirements Bachelor's degree (BS/BA) in Computer Science, Software Engineering, or similar major OR equivalent professional experience or software development certification (including bootcamp). 10+ years of professional software engineering experience. 5+ years in a team lead role, using Agile practices/processes. 5+ years professional experience developing Cloud Native applications/products on AWS, Azure, or GCP (AWS preferred) OR 5+ years professional experience with Go/Golang OR 5+ years professional experience with React + TypeScript. Strong ability to communicate development approaches and plans within and across teams. Professional experience with modern version control systems (e.g., Git) and tools (e.g., Bitbucket, GitHub, GitLab). Nice to Have Experience working in a startup environment. Knowledge of the healthcare industry and HL7 standards like FHIR. Experience writing infrastructure as code using Serverless Framework. Experience with graph data modeling (i.e., using Ent). Experience with event streaming frameworks. Experience with gRPC/Twirp. AWS certification(s). Base Salary Range $170,000-$230,000 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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.
Senior Machine Learning Engineer, Computer Vision - Robotics
Scale AI San Francisco, California
Overview Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. You will Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g. point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Models for hand pose estimation, gesture recognition, and full-body tracking under varying lighting and occlusion. Object Detection and Tracking (MOT/SOT): High-performance models for detection and persistent tracking of objects and people in video streams. Video Processing: Temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications, and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and meet performance targets. You have Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to have Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow or Jax. Programming: Python for ML and C++ for performance-critical implementation. 2D/3D Fundamentals: Computer vision fundamentals including multi-view geometry, camera calibration, and 3D rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience prototyping and iterating on ML systems with changing requirements. Compensation and benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board approval. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and salary The base salary range for this full-time position in the location of San Francisco is: $218,400-$273,000 USD Notes PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work with industry partners and government agencies to accelerate the development of AI applications. Equal opportunity We are an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. Accessibility We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance in the application process, please contact . Please see the United States Department of Labor Know Your Rights poster and Pay Transparency provisions for additional information. We collect, retain and use personal data for our professional business purposes in accordance with our privacy policy.
04/05/2026
Full time
Overview Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. You will Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g. point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Models for hand pose estimation, gesture recognition, and full-body tracking under varying lighting and occlusion. Object Detection and Tracking (MOT/SOT): High-performance models for detection and persistent tracking of objects and people in video streams. Video Processing: Temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications, and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and meet performance targets. You have Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements. Nice to have Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow or Jax. Programming: Python for ML and C++ for performance-critical implementation. 2D/3D Fundamentals: Computer vision fundamentals including multi-view geometry, camera calibration, and 3D rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals. Hands-on experience prototyping and iterating on ML systems with changing requirements. Compensation and benefits Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board approval. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Location and salary The base salary range for this full-time position in the location of San Francisco is: $218,400-$273,000 USD Notes PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work with industry partners and government agencies to accelerate the development of AI applications. Equal opportunity We are an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. Accessibility We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance in the application process, please contact . Please see the United States Department of Labor Know Your Rights poster and Pay Transparency provisions for additional information. We collect, retain and use personal data for our professional business purposes in accordance with our privacy policy.

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