Senior Machine Learning Engineer

Amgen

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$156,190–$211,315 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $184k
$145k most similar roles pay here $257k

This role pays less than 68% of similar roles. Most pay $175,500–$246,150 — the shaded band above. At the midpoint, this role pays about $184k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 33 open roles on FindRole.

Listed pay typically runs $135,537–$177,132 across 32 roles with salary data.

Most-posted roles

View all roles at Amgen

At a glance

TL;DR · Senior Machine Learning Engineer

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As a Senior Machine Learning Engineer in the AI & Data Innovation Lab at Amgen, you will join a dynamic team focused on integrating and accelerating new technologies to deliver measurable value and competitive advantage. Your role involves building scalable AI proofs-of-concept that demonstrate clear paths from prototype to enterprise-scale solution, partnering closely with product managers and business stakeholders to translate ambiguous needs into practical solutions. You will design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, and cloud-native services while validating feasibility through technical risk assessment and creating reusable technical assets for scaling successful POCs. The ideal candidate has 4-6 years of relevant experience in AI engineering with a strong foundation in Python, AWS Cloud, CI/CD, observability, and secure development practices, along with the ability to responsibly use AI tools to enhance productivity and delivery.

Skills

AWS Python LLMs retrieval-augmented generation vector databases agentic workflows orchestration frameworks CI/CD containers observability data pipelines integration architecture secure development practices Terraform Kubernetes PostgreSQL MLOps Docker

What you'll do

  • Build scalable AI proofs-of-concept with a clear path to enterprise-scale solutions.
  • Translate ambiguous business needs into practical AI solutions with measurable value.
  • Design and implement modern AI systems using LLMs, data pipelines, and cloud services.
  • Validate feasibility of AI projects by assessing technical risk, data readiness, and security.
  • Create reusable technical assets like reference architectures and documentation for scaling POCs.
  • Mentor team members and improve delivery patterns through strong engineering practices.

What we're looking for

  • 4-6 years of experience in AI engineering or related technical roles.
  • Strong understanding of modern AI application architecture and evaluation methods.
  • Experience building scalable, secure, full-stack AI applications beyond experimentation.
  • Proficiency with AWS Cloud, data pipelines, containers, CI/CD, observability, and security practices.
  • Solid software engineering foundation with Python and modern development practices.
  • Ability to translate business problems into technical solutions and validate feasibility rapidly.
  • Excellent communication and cross-functional leadership skills for effective partnership.

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