Machine Learning Engineer, AI Studio

Amgen

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Jacksonville, FL
Salary
$129,654–$175,415 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $153k
$113k most similar roles pay here $282k

This role pays less than 92% of similar roles. Most pay $192,987–$254,750 — the shaded band above. At the midpoint, this role pays about $153k versus about $224k 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 46 open roles on FindRole.

Listed pay typically runs $136,906–$184,235 across 44 roles with salary data.

Most-posted roles

View all roles at Amgen

At a glance

TL;DR · Machine Learning Engineer, AI Studio

Machine Learning Engineer, AI Studio joins the Applied AI team to transform high-value business challenges into scalable products. You will independently own production components such as model inference services, data pipelines, retrieval modules, agent tools, and evaluation systems. The role involves designing, building, and supporting these assets across the full lifecycle from prototyping to deployment. Key responsibilities include implementing Python and SQL components, performing feature engineering, and developing GenAI, RAG, and bounded agent features using tools like LangChain, LlamaIndex, and PyTorch. You will work with technologies including Spark, Databricks, AWS, SageMaker, and Kubernetes while ensuring compliance with GxP controls in a regulated environment. The position focuses on solving complex problems in the life sciences domain by creating governed, reusable AI assets that provide measurable value across software, data, and automation workflows.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Design and implement maintainable Python and SQL components for data pipelines, models, and retrieval systems.
  • Build Generative AI, NLP, RAG, and agentic components using structured outputs, embeddings, and hybrid search.
  • Develop automated data engineering pipelines with schema validation, lineage tracking, and consistency checks.
  • Define evaluation metrics for model quality, safety, latency, cost, and user impact.
  • Deploy and support production components using cloud services, containers, CI/CD, and monitoring tools.
  • Ensure all AI products comply with security, privacy, Responsible AI, and GxP regulatory controls.
  • Provide technical guidance and review work for associate engineers on the team.

What we're looking for

  • A Bachelor’s degree plus 2 years of experience in Computer Science or IT (or equivalent higher education/experience combinations).
  • Proficiency in Python and SQL with strong software engineering and testing practices.
  • Capability in at least one area: classical ML, GenAI/RAG/agents, or MLOps/platform engineering.
  • Experience with advanced ML frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, or XGBoost (preferred).
  • Experience with GenAI and knowledge systems including LangChain, LlamaIndex, or hybrid retrieval (preferred).
  • Experience with cloud and MLOps tools like AWS, Databricks, Spark, Kubernetes, or MLflow (preferred).
  • Experience in regulated environments such as healthcare, life sciences, or GxP (preferred).
  • Ability to communicate technical trade-offs clearly and collaborate with cross-functional partners.

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