Sr Machine Learning Engineer

Senior Machine Learning Engineer Responsibilities

• 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, and 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.
• Involved in technical guidance and career development mentorship to junior machine learning engineers and data scientists in a formal or matrixed fashion.
• 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 the job offered or in a Data Scientist related – Occupation.
• 4 years of experience in the following:
• Programming skills in Python including experience with scientific computing and machine learning libraries such as pandas, Num Py, scikit-learn, XGBoost, Light
  
  GBM, Tensor Flow and PyTorch.
• Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures.
• Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP.
• Involved with data science platforms including Databricks and Sage Maker.
• Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, forecasting techniques and time‑series analysis.
• Building ETL (Extract, Transform, Load) pipelines for handling 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 work with architectures such as BERT, ALBERT, GPT, and other transformer‑based models.

Full Time position. Annual salary range: $ - $ per year.

• 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.
• Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visit

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.