Sr Machine Learning Engineer

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.

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.

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; and Involved in technical guide and career development mentor 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.
• Programming skills in Python and experience with scientific computing and machine learning libraries including 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 with Git, containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP.
• Experience 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 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.

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

Job type:
Full Time position. The annual salary range for this position in the U.S. is $ - $ per year. 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

As we work to develop treatments, we also care for your professional and personal growth and well-being. 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.

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and…