Machine Learning Engineer, AI Studio

Amgen; Deutschland; Hybrid; EUR 112.000 - 151.000; Vollzeit

Benefits dieser Stelle

Retirement plan

Health, dental & vision plans

Stock-based incentives

Flexible time-off

Zusammenfassung

Amgen is seeking a Machine Learning Engineer to own production AI components within enterprise AI products. You will design, release, diagnose and support components while linking technical measures to business outcomes.

You will implement GenAI, NLP and bounded-agent components, develop data pipelines, and ensure governance, testing, and observability across cloud-based services.

Qualifikationen

• Ownership of at least one production software, data, ML or automation component.
• Strong Python and SQL with solid software engineering and testing practices.
• Experience in at least one ML/GenAI area and MLOps/platform engineering.
• Experience with PyTorch, TensorFlow, NLP/knowledge systems helpful.
• Experience with cloud and data tooling in regulated environments.

Aufgaben

• Own defined production components within enterprise AI products and automation.
• Design, release, diagnose and support components with measurable value.
• Build GenAI, NLP, RAG and bounded agent components with structured outputs.
• Engineer data, feature and evaluation pipelines with governance and provenance.
• Release and support components using cloud, containers, CI/CD, monitoring and runbooks.

Kenntnisse

Python

SQL

GenAI

MLOps

Cloud services

Kubernetes

LangChain

Data pipelines

Documentation

Ausbildung

Master’s degree

Bachelor’s in CS/IT or related

Associate’s degree + 6 years experience

High school diploma + 8 years experience

Tools

AWS

Bedrock or SageMaker

Databricks

Spark

Kubernetes

MLflow

Airflow

Kubeflow

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Jobbeschreibung

Career Category

Engineering

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s 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, you’ll 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, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Machine Learning Engineer, AI Studio

What you will do

Let’s do this. Let’s change the world. In this vital role you will independently own defined production components within enterprise AI products and automation solutions.

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.

What we expect of you

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:

Master’s degree

OR

Bachelor’s degree and 2 years of Computer Science, IT or related field experience

OR

Associate’s 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:

• Demonstrated ownership of at least one production software, data, ML, GenAI or automation component.
• 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.

What you can expect of us

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, we’ll 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.

Application deadline

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

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.

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.

Salary Range

129,654.75USD -175,415.25USD