Senior Machine Learning Engineer, AI Studio
CAREER LEVEL:GCF 5 – Specialist
CAREER TRACK:Individual Contributor
PRIMARY SCOPE:End-to-end ownership of a small AI asset orsubstantialtechnical workstream
ORGANIZATION:Applied AI | AI Studio
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainsat thecutting edgeof innovation, using technology and human genetic data to push beyond what is known today.
The Senior Machine Learning Engineer positionoffers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company toidentifythe right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact.You willbepart of AI Studio anddefine and own AI assetsor substantial technical workstream from problem framing through architecture, model and system development, evaluation, launch, stabilization, support transition,adoptionand measurable outcome.
You will remain hands-on while leading decisions across software, statistics, classical ML, deep learning, NLP, GenAI, RAG, bounded agents, data and knowledge pipelines, APIs,MLOps/LLMOps, security,governanceand operations. Within Applied AI-AI Studio turn prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation,observabilityand lifecycle operations.
Roles & Responsibilities:
Define the user, workflow, decision, intended use, baseline, value hypothesis, acceptance criteria, adoption path, operatingownerand measurable technical and business outcomes.
Map rules, exceptions, datadependenciesand human decision points before selecting deterministic automation, classical ML, deep learning, GenAI, RAG,agentsor a manual approach.
Own production architecture across data, feature and knowledge pipelines, models, retrieval, agents, APIs, persistence, workflows, user experience, securityzonesand human review.
Lead hands-on development of production software, EDA, feature engineering, predictive models, deep-learning or NLP components, inference services, RAG, agenttoolsand workflow orchestration.
Establish baselines, experiment design, leakage controls, uncertainty, calibration, subgroup and robustness checks, gold sets, error taxonomies, expertadjudicationand release thresholds.
Advanced ML, causal and uncertainty methods: Experience with data-centric AI, weak supervision, active learning, conformal or Bayesian uncertainty, causal inference, time-series, survivalmethodsor drift-aware retraining.
Advanced deep learning and model efficiency: Experience with transformers, multimodal pipelines, CNNs, RNNs, GNNs, PEFT orLoRA, fine-tuning, distillation, quantization, routing,cascadesor inference optimization.
Cloud,platformand AI operations: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, serverless systems, infrastructure as code,MLflow, Airflow, Kubeflow, observability and FinOps.
Human-AI and regulated delivery: Experience with review, correction, approval, accessibility, uncertainty communication, workflow automation andGxP-relevant or validated systems.
Strong product thinking and ability to connect technical decisions to user, workflow, risk,costand business value.
Cross-functional leadership across business, product, architecture,engineeringand control functions.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race,colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
