Senior Machine Learning Engineer

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients

At Amgen, we are driven by our shared mission to serve patients living with serious illnesses. Since 1980, we have pioneered the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Disease. We reach millions of patients annually and are advancing a broad pipeline of medicines. As a member of the Amgen team, you’ll make a lasting impact on patients' lives.

Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges, you’ll thrive here.

What You Will Do

As part of the Artificial Intelligence & Data organization, the AI & Data Innovation Lab is a hub for exploration and innovation, integrating new technologies and methods to deliver value and competitive advantage. We move fast to prove what is possible, de-risk uncertainty, and create the foundation for scaling AI solutions responsibly.

We are seeking a Senior Machine Learning Engineer to build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed for production. This role requires expertise in AI engineering, software engineering, cloud and data architecture, product thinking, and business partnership. The ideal candidate is a hands-on builder adept at operating through ambiguity, collaborating with stakeholders, making pragmatic technical decisions, and elevating engineering standards.

Key Responsibilities:

• Build scalable AI proof-of-concepts demonstrating a clear path from prototype to enterprise-scale solutions.
• Partner with product managers, business stakeholders, platform teams, and engineers to translate business needs into practical AI solutions.
• Design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, and cloud-native services.
• Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security, performance, cost, and business impact.
• Create reusable technical assets such as reference architectures, components, documentation, and handoff materials.
• Raise the technical bar by modeling strong engineering practices, mentoring others, improving delivery patterns, and demonstrating ownership in uncertain, fast-moving work.

What We Expect Of You

We are looking for an individual with the following 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 designed for scalability, security, evaluation, and maintainability.
• Strong understanding of modern AI application architecture, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, and AI evaluation methods.
• Experience defining and applying evaluation methods for AI solutions (accuracy, reliability, hallucination risk, latency, usability, safety, cost).
• Ability to translate ambiguous business problems into practical technical approaches, make sound tradeoffs, and rapidly validate feasibility and value.
• 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 (testing, version control, modular design, documentation).
• Demonstrated ability to responsibly use AI tools to improve engineering productivity and automate tasks.
• Excellent communication, ownership, and cross-functional leadership skills.

What You Can Expect From Us

We are committed to your professional and personal growth and well-being. We offer competitive benefits and a collaborative culture.

The expected annual salary range for this role in the U.S. is posted. Actual salary will vary based on skills, experience, and qualifications.

Amgen offers a Total Rewards Plan, including health and welfare plans, financial plans, and work/life balance and career development opportunities.

• 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.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models where possible.

Apply now and make a lasting impact with the Amgen team. careers.amgen.com

Amgen fosters an inclusive environment of diverse, ethical, committed people who respect each other and live the Amgen values. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation.

Key skills/competency

• Machine Learning Engineer
• AI Engineering
• Software Engineering
• Cloud Architecture
• Data Pipelines
• LLMs
• Python
• AWS
• Proof-of-Concept Development
• Scalable AI Solutions