Senior Machine Learning Engineer

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Machine Learning Engineer

What you will do

Let’s do this. Let’s change the world. 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 move fast to prove what is possible, de-risk what is uncertain, and create the technical foundation that allows Amgen to scale the right AI solutions responsibly. Join us!

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. The ideal candidate is a hands-on builder who can operate through ambiguity, partner closely with product managers and business stakeholders, make pragmatic technical decisions, and raise the engineering bar for others. They should bring strong ownership and accountability, while understanding that success is not only shipping code, but also creating reusable patterns, validated architectures, and clear evidence that helps Amgen decide what to scale.

Key Responsibilities:

• Build scalable AI proof-of-concepts that are designed to 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.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.

Basic 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

Preferred Qualifications:

• 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 that move beyond experimentation and are 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 evaluati