Note: The job is a remote job and is open to candidates in USA. Amgen is a biotechnology company focused on developing innovative medicines for serious illnesses. The Senior Machine Learning Engineer will develop scalable machine learning platforms and workflows that enable scientists and researchers to build, deploy, and manage AI/ML models, primarily for drug discovery and development. The role also involves implementing MLOps best practices, productionizing cloud-based solutions, and educating scientists on model lifecycle management.
Responsibilities
- Deliver AI and ML-enabled applications and platforms, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models
- Contribute to the development and maintenance of ML platform capabilities, including: + Data pipelines and feature engineering workflows + Model training, evaluation, and deployment pipelines + Experiment tracking and model registry systems + Model performance evaluations and monitoring
- Partner in implementation of AI and ML Ops best practices, including CI/CD, cloud infra as code, monitoring, traceability and reproducibility
- Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions
- Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms
- Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices
Skills
- Doctorate degree
- Master's degree and 2 years of relevant experience in Computer Science, IT, or related field
- Bachelor's degree and 4 years of relevant experience in Computer Science, IT, or related field
- Associate's degree and 8 years of relevant experience in Computer Science, IT, or related field
- High school diploma / GED and 10 years of relevant experience in Computer Science, IT, or related field
- Software programming (Python, version control, test driven development)
- Hands-on experience with AI/ML model training and serving
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated presentation skills
- Self-motivated, independent ownership and leadership skills
- Experience with cloud technologies (AWS preferred, Databricks)
- Experience with deployment and maintenance of AI/ML models in production
- Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure
- Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights & Biases, Terraform, etc.)
- Experience with containerization (Docker, Kubernetes)
- Familiarity with distributed data processing (e.g., Spark)
- Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain)
- Experience with graph databases
Benefits
- 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
- Health and welfare plans for staff and eligible dependents
- Financial plans with opportunities to save towards retirement or other goals
- Work/life balance
- Career development opportunities
Company Overview