[Remote] Sr Machine Learning Engineer -AI/ML- US Remote

Note: The job is a remote job and is open to candidates in USA. Amgen is a leading biotechnology company seeking a Senior Machine Learning Engineer to build and scale AI/ML platforms. This role involves designing core services, infrastructure, and governance controls for machine learning applications while collaborating with various teams to enhance the developer experience.

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

Skills

• 3-5 years in AI/ML and enterprise software
• Comprehensive command of machine-learning algorithms—regression, 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
• 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
• 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
• Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus

Company Overview

• Amgen is a biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases. It was founded in 1980, and is headquartered in Thousand Oaks, California, USA, with a workforce of 10001+ employees. Its website is http://www.amgen.com.

Company H1B Sponsorship

• Amgen has a track record of offering H1B sponsorships, with 429 in 2025, 485 in 2024, 485 in 2023, 540 in 2022, 460 in 2021, 444 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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