[Hiring] 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. This role sits at the intersection of AI engineering, software engineering, cloud and data architecture, product thinking, and business partnership.

• 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.