#WeareBiotech
Senior Machine Learning Engineer
Location
United States
Posted
11 days ago
Salary
$156.2K - $211.3K / year
Seniority
Senior
Job Description
Senior Machine Learning Engineer
Amgen
Role Description Join Amgen’s Mission of Serving Patients. As part of the Artificial Intelligence & Data organization, the AI & Data Innovation Lab is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We are seeking a Senior Machine Learning Engineer to help build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed with a clear path to production. - Build scalable AI proof-of-concepts that demonstrate a clear path from prototype to enterprise-scale solution. - Partner with product managers, business stakeholders, platform teams, and AI & software engineers to translate ambiguous business needs into practical AI solutions with measurable value. - Design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms. - Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact. - Create reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials that enable product, platform, or delivery teams to scale successful POCs. - Raise the technical bar for the team by modeling strong engineering practices, mentoring others, improving delivery patterns, and bringing clear ownership and accountability to uncertain, fast-moving work. Qualifications - Doctorate degree OR - Master’s degree and 2 years of relevant experience OR - Bachelor’s degree and 4 years of relevant experience OR - Associate’s degree and 8 years of relevant experience OR - High school diploma / GED and 10 years of relevant experience Requirements - 4-6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or related technical roles. - Demonstrated experience building full-stack AI-powered applications designed with scalability, security, evaluation, and maintainability in mind. - Strong understanding of modern AI application architecture, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool use, orchestration frameworks, and AI evaluation methods. - Experience defining and applying evaluation methods for AI solutions, including accuracy, reliability, hallucination risk, latency, usability, safety, cost, and fitness for intended use. - Ability to translate ambiguous business problems into practical technical approaches, make sound tradeoffs, and rapidly validate feasibility, value, risks, and path to scale. - Experience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development practices. - Strong software engineering foundation, preferably with Python and modern development practices, including testing, version control, modular design, documentation, and maintainable code. - Demonstrated ability to responsibly use AI tools to improve engineering productivity, explore technical solutions, automate repetitive tasks, and enhance the delivery of machine learning or software products. - Excellent communication, ownership, and cross-functional leadership skills, with the ability to partner effectively with product managers, business stakeholders, platform teams, and AI and software engineers. Benefits - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. - A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan. - Stock-based long-term incentives. - Award-winning time-off plans. - Flexible work models where possible. Company Description Amgen is dedicated to improving the quality of life for people around the world, fostering an inclusive environment of diverse, ethical, committed, and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients.
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
Data Protection Engineer
CoinbaseA digital currency exchange, Coinbase is used by consumers, merchants, and traders to buy and sell cryptocurrencies, such as Bitcoin, Ethereum, and Litecoin. Fo
• Build and maintain DLP controls and tooling across multiple OS environments and decentralized datasets • Drive automation across DLP engineering and operations • Partner with cross-functional teams to deploy data protection technologies • Execute monitoring and metrics reporting • Support long-term data protection strategy
Safety Investigations Engineer, II
Torc RoboticsLeading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.
• Lead and coordinate the investigation of potential safety concerns with key stakeholders, including but not limited to Torc Engineering and Fleet Operations. • Actively monitor the teams’ investigations as they identify trends, possible safety-related defects, and/or non-compliances. • Conduct thorough, data-driven, but timely, investigations to determine the scope, cause, and consequence of the issue, the root cause, and all potential corrective actions. • Actively track and manage identified issues from the onset of an investigation through its conclusion. • Conduct field inspections of post-event vehicles or in-service vehicles as necessary. • Provide recommendations to leadership and governance bodies on possible actions for the identified issues. • Provide timely notification to management of potential safety concerns based on the severity. • Monitor field fix performance for effectiveness and recommend additional actions as necessary. • Collaborate with the Safety Data and Analysis Director to identify and develop novel analytical methods and tools to facilitate the identification of concerns, support safety investigations and apply available analytics data to ongoing safety investigations and safety risk management. • Support the production data collection parameters and the review process required for safety performance monitoring and regulatory compliance. • Communicate with NHTSA and other Federal and State agencies about open investigations, and emerging issues. • Manage the regulatory reporting of safety defects and coordinate with our business partners.
Senior Product Engineer
Belle, LLCHealthcare is shifting homeward—and seniors deserve better. Belle is redefining care by embedding preventive services directly in the lives of Medicare members. By joining us now, you’ll not only enjoy a work-life balance rare in clinical practice but also help build the future of senior care.
Role Description We're looking for a Senior Product Engineer who operates as a true product partner. You'll own significant areas of our product, make architectural decisions, and influence what we build—not just how. A core pillar of this role is data and analytics: you'll own the infrastructure, models, and reporting that make Belle a genuinely KPI-driven organization. - Lead the design and delivery of major features across our Ruby on Rails web app and React Native mobile app. - Own data and analytics as a core part of the role—build and maintain the reporting, dashboards, and underlying data models the entire organization relies on to make decisions. - Partner with product and clinical leadership to shape roadmap and translate operational strategy into technical direction. - Own architecture and technical decisions for your areas; balance speed, scalability, and maintainability. - Set the standard for how the team uses AI coding tools to ship faster without sacrificing quality. - Mentor engineers through code review, pairing, and design discussion. - Identify high-leverage opportunities in product, operations, and data—and drive them. - Help shape engineering practices, standards, and culture as we scale. Qualifications - 5+ years of professional software engineering experience building and shipping production software. - Deep experience with React (or React Native) and Ruby on Rails—required. - Strong command of SQL and relational databases—you can model data well, write performant queries, and reason about schema design. - A track record of owning features or products end to end, including the product thinking behind them. - Comfort operating with incomplete information, making decisions without extensive process, and building systems that may support 10x growth over the next few years. - You're an early adopter and power user of AI coding tools (Claude Code, Codex, Cursor, etc.) and can show others how to get the most out of them. - Strong product judgment: you've influenced what gets built, killed bad ideas early, and measured impact after shipping. - A builder at heart—you make things on your own time because you can't help it. - Experience mentoring engineers and elevating team standards. - Excellent communication across technical and non-technical stakeholders. Requirements - Bonus if You Have: - Metabase or similar BI tooling—you'll likely be building in it regularly. - Inertia.js experience. - Healthcare, digital health, Medicare, or value-based care experience. - Experience in fast-paced, high-growth, or startup environments. Benefits - Competitive compensation based on experience. - Health, Dental, and Vision Insurance Benefits. - 401k. - PTO, Sick, Wellness leave, and Paid Holidays. - Opportunity for significant career growth and expansion of responsibilities. - Ability to reshape an industry and protect lives. One Concrete Ask Send us something you've built—ideally something you own beyond your day job. A side project, an open-source contribution, a tool that scratched your own itch. Tell us what it does, the most interesting technical or product decision you made, and how AI coding tools fit into how you work today. We'd rather see one thing you're proud of than a long list of past employers.
Product Engineer
Belle, LLCHealthcare is shifting homeward—and seniors deserve better. Belle is redefining care by embedding preventive services directly in the lives of Medicare members. By joining us now, you’ll not only enjoy a work-life balance rare in clinical practice but also help build the future of senior care.
Role Description We're looking for a Product Engineer who thinks like a product person, not just a ticket-closer. You'll own features end to end: understanding the problem, shaping the solution, shipping it, and watching how it performs in the real world. You care about why you're building something and what happens after it's live—not just whether the code compiles. This is a strong fit for a recent grad or early-career engineer who has already been building things on their own and wants to do work that visibly improves patients' lives. What You'll Do - Build and ship full-stack features across our Ruby on Rails web app and React Native mobile app - Work directly with product, clinical operations, and care teams to turn fuzzy operational problems into shipped software - Take ownership of features end to end—from scoping through deployment and iteration - Use AI coding tools aggressively to move fast and raise your output and quality - Build internal tools, automations, and integrations that make our operations more efficient - Dig into product and operational data to understand whether what you built actually worked - Participate in sprint planning, code review, testing, and rollouts Qualifications - 0–2 years of professional software engineering experience (internships and serious personal projects count) - Working experience with React (or React Native) and Ruby on Rails—these are our core stack and required - Solid SQL fundamentals and comfort working with relational databases - Evidence that you're a builder: you've shipped real projects on your own, not just coursework - You're an early adopter and heavy user of AI coding tools—Claude Code, Codex, Cursor, or similar - Strong product instincts: you ask "should we build this?" and "did it work?", not just "how do I build this?" - Clear communicator who's comfortable working across engineering and non-engineering teams - Genuine curiosity and a bias toward action in a fast-moving environment Requirements - Bonus if You Have: - Metabase (or similar BI/analytics tooling) experience - Inertia.js experience - Familiarity with APIs, integrations, and automation - Interest in or exposure to healthcare, digital health, or value-based care One Concrete Ask Along with your application, send us something you've built and shipped on your own—a link to a live project, a GitHub repo, a tool you made for yourself, anything real. In a few sentences, tell us what it does, why you built it, and how you used AI coding tools in the process. This matters more to us than your résumé. Benefits - Competitive compensation based on experience - Health, Dental, and Vision Insurance Benefits - 401k - PTO, Sick, Wellness leave, and Paid Holidays - Opportunity for significant career growth and expansion of responsibilities - Ability to reshape an industry and protect lives


