Sr Machine Learning Engineer

Senior Machine Learning Engineer

Duties: Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas. Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen. Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms.

Facilitate ML & data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment. Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift. Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models.

Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle. Serve as a technical guide and career development mentor to junior machine learning engineers and data scientists. May telecommute.

• Bachelor's degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering, or a related field and 4 years of experience in a Data Scientist related occupation.
• 4 years of experience in programming with Python, including scientific computing and machine learning libraries such as pandas, Num Py, scikit-learn, XGBoost, LightGBM, Tensor Flow, and PyTorch.
• Experience applying supervised and unsupervised learning techniques to real‑world problems, including Random Forest, XGBoost, ensemble models, and deep learning architectures.
• Version control (Git), containerization and orchestration tools (Docker, Kubernetes), and cloud environments (AWS or GCP).
• Experience with data science platforms such as Databricks and Sage Maker.
• Proficiency in statistical methods used in industry, including regression modeling, hypothesis testing, Bayesian methods, forecasting techniques, and time‑series analysis.
• Building ETL (Extract, Transform, Load) pipelines for large‑scale, high‑dimensional datasets, familiarity with healthcare data structures and data types.
• Experience with software Dev Ops CI/CD tools and Git Lab.
• Experience developing and fine‑tuning Natural Language Processing (NLP) models, including BERT, ALBERT, GPT, and other transformer‑based models.

• 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, including remote and hybrid work arrangements where possible.

Job type:
Full Time. The annual salary range for this position in the U.S. is $ – $ per year. In addition to the base salary, Amgen offers a Total Rewards Plan, including health and welfare plans, financial plans, work/life balance support, and career development opportunities.

Contact:
Interested candidates apply via  and search for job#R-243604.

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.