Himalayas logo
AmgenAM

Sr Machine Learning Engineer -AI/ML- US Remote

Amgen Inc. is a leading biotechnology company focused on discovering, developing, manufacturing, and delivering innovative therapies for serious illnesses.

Amgen

Employee count: 1001-5000

Salary: 159k-200k USD

United States only

Career Category

Information Systems

Job Description

ABOUT THE ROLE

Role Description:

We are seeking a Sr Machine Learning EngineerAmgen’s senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.

Roles & Responsibilities:

  • Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
  • Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications.
  • Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.
  • Optimize performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.
  • Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications.
  • Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.
  • Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads.
  • Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.
  • Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.

Must-Have Skills:

  • 3-5 years in AI/ML and enterprise software.
  • Comprehensive command of machine-learning algorithmsregression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.
  • Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
  • Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
  • Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
  • Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.
  • Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.

Good-to-Have Skills:

  • Experience in Biotechnology or pharma industry is a big plus
  • Published thought-leadership or conference talks on enterprise GenAI adoption.
  • Master’s degree in computer science and or Data Science
  • Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

  • Master’s degree with 8 + years of experience in Computer Science, IT or related field

OR

  • Bachelor’s degree with 10 + years of experience in Computer Science, IT or related field
  • Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

  • Excellent analytical and troubleshooting skills.
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.
  • Team-oriented, with a focus on achieving team goals.
  • Ability to learn quickly, be organized and detail oriented.
  • Strong presentation and public speaking skills.
.

Salary Range

158,606.00 USD - 200,052.00 USD

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 159k-200k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Amgen

Learn more about Amgen and their company culture.

View company profile

At the heart of what we do is a culture of innovation and a commitment to serve patients. Amgen, a pioneer in biotechnology, has been dedicated to unlocking the potential of biology for those suffering from serious illnesses since 1980. We discover, develop, manufacture, and deliver innovative human therapeutics that help millions of patients worldwide.

Our mission is clear: to transform the promise of science and biotechnology into therapies that restore health and save lives. We are driven by our values, which emphasize ethical integrity, intense competition, and a commitment to quality. Every day, our diverse and talented teams collaborate to push the boundaries of science, looking for better ways to address challenges faced by patients through our robust pipeline of medicines that target cancer, heart disease, and other serious conditions.

Claim this profileAmgen logoAM

Amgen

Company size

1001-5000 employees

Founded in

1980

Chief executive officer

Robert A. Bradway

Employees live in

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

217 remote jobs at Amgen

Explore the variety of open remote roles at Amgen, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Amgen

Remote companies like Amgen

Find your next opportunity by exploring profiles of companies that are similar to Amgen. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan
Amgen hiring Sr Machine Learning Engineer -AI/ML- US Remote • Remote (Work from Home) | Himalayas