Machine Learning Engineer, AI Studio

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology Inflammation General Medicine and Rare Disease we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer heart disease inflammatory conditions rare diseases and obesity and obesity-related conditions. As a member of the Amgen team youll help make a lasting impact on the lives of patients as we research manufacture and deliver innovative medicines to help people live longer fuller happier lives.

Our award-winning culture is collaborative innovative and science based. If you have a passion for challenges and the opportunities that lay within them youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Machine Learning Engineer AI Studio

The Machine Learning Engineer offers 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 Amgens enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the 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 will independently own defined production components within enterprise AI products and automation solutions.

Your remit may include a model or inference service data or knowledge pipeline retrieval component agent tool evaluation module API workflow or monitoring capability. You will design release diagnose and support the component while connecting technical measures to user and workflow outcomes. Within Applied AI AI Studio turns 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 observability and lifecycle operations.

Key Responsibilities

• Define component boundaries intended use acceptance criteria non-functional requirements decision consequences support expectations and technical estimates with product and architecture partners.
• Design and implement maintainable Python SQL API data model retrieval agent-tool and workflow components with clear contracts configuration testing error handling and documentation.
• Apply EDA feature engineering supervised or unsupervised methods baselines cross-validation leakage prevention calibration subgroup threshold explainability and error analysis where relevant.
• Build GenAI NLP RAG and bounded agent components using structured output embeddings hybrid search reranking provenance citations permissions approvals retries and recoverable failure behaviour.
• Engineer batch or event-driven data document feature embedding label and evaluation pipelines with schema validation lineage provenance access control and consistency checks.
• Define representative evaluation for model quality uncertainty retrieval grounding citations task success tool correctness safety latency cost and user impact.
• Release and support components using cloud services containers CI/CD versioning monitoring rollback incident response and runbooks; lead diagnosis of moderately complex failures.
• Apply security privacy Responsible AI validation auditability human oversight and applicable GxP controls; contribute reusable assets and guide Associate engineers on familiar work.

We are all different yet we all use our unique contributions to serve patients. The Machine Learning Engineer we seek is a professional with these qualifications.

Basic Qualifications:

Masters degree

OR

Bachelors degree and 2 years of Computer Science IT or related field experience

OR
Associates degree and 6 years of Computer Science IT or related field experience

OR

High school diploma / GED and 8 years of Computer Science IT or related field experience

Preferred Qualifications:

• Production software and AI/ML system design: Python and SQL modules APIs background jobs event flows testing performance observability source control and maintainable failure semantics.
• Statistics modelling and experimentation: EDA feature engineering classification regression clustering ensembles cross-validation leakage prevention calibration uncertainty and decision-aware error analysis.
• GenAI RAG knowledge and agents: Prompt and context management structured output chunking embeddings hybrid retrieval reranking citations access-aware retrieval tool schemas and human approval.
• Data knowledge and cloud-scale systems: Batch and event-driven pipelines contracts lineage provenance relational/document/graph/vector stores APIs containers Spark or Databricks and cloud-native services.
• Strong hands-on proficiency in Python and SQL with sound software-engineering and testing practices.
• Strong capability in at least one of classical ML GenAI/RAG/agents or MLOps/platform engineering with working knowledge of adjacent areas.
• Advanced ML and deep learning: Experience with PyTorch TensorFlow Hugging Face scikit-learn XGBoost PyMC computer vision NLP GNNs causal inference or uncertainty estimation.
• Advanced GenAI and knowledge systems: Experience with LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI hybrid retrieval knowledge graphs graph RAG or evidence verification.
• Cloud data and MLOps: Experience with AWS Bedrock or SageMaker Databricks Spark Kubernetes infrastructure as code MLflow Airflow Kubeflow or GitHub Actions.
• Agents and human-AI workflows: Familiarity with MCP-style integration agent tracing adversarial testing durable workflows permissions human review BI or process automation.
• Regulated enterprise delivery: Experience in healthcare life sciences GxP validated systems or another regulated or high-impact environment.
• Independent problem solving and sound component-level technical judgment.
• Clear communication of assumptions evidence trade-offs risks and support implications.
• Strong collaboration with business SMEs product architecture software data platform evaluation and control partners.
• Ownership reliability and disciplined follow-through from design through production support.
• Ability to guide junior engineers and learn new tools through evidence-based experimentation.

As we work to develop treatments that take care of others we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture well support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills experience and qualifications.

In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of health and welfare plans for staff and eligible dependents financial plans with opportunities to save towards retirement or other goals work/life balance and career development opportunities that may include:

• A comprehensive employee benefits package including a Retirement and Savings Plan with generous company contributions group medical dental and vision coverage life and disability insurance and flexible spending accounts
• A discretionary annual bonus program or for field sales representatives a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen anticipates accepting applications until August 31st 2026; however we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of diverse ethical committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Salary Range