Senior Machine Learning Engineer - Data Science Platforms


You've earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you've worked hard to acquire and the passion you already have. At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world's leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role.

Senior Machine Learning Engineer - Data Science Platforms


What you will do

Let's do this. Let's change the world. In this vital role you will The position will work as part of a cross-functional product team with includes data engineers and software developers. The mission of the Enterprise Data Science Platform product team is to provide infrastructure and technical support to various data science teams within Amgen.

EEA services include Advanced Analytics and Data Integration, Big Data Technology services, Information Discovery and Search, Information Architecture, Knowledge Management (KM), Cloud and DevOps Engineering, and Data Science.
  • Work as a member of the Data Engineering team that uses Cloud and Data Science technologies to design, develop and implement solutions to enable Data Scientists and Data Analysts across Amgen
  • Development of platforms capable of enabling data science, machine learning, predictive modeling and artificial intelligence capabilities across Amgen
  • Work closely with the Data Science delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines
  • Research and evaluate technical solutions including AWS Services, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, etc
  • Procure, install & develop machine learning infrastructure that will be used by Amgen data science teams for developing, evaluating, and deploying machine learning models
  • Providing technical support to data science teams on best practices for developing efficient machine learning models


What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The hardworking professional we seek is a data enthusiast with these qualifications.

Basic Qualifications

  • BS degree in Computer Science, Engineering or other quantitative field
  • 3+ years of experience shipping successful industrial strength products and/or services to customers using a SDLC process from start to finish
  • 3+ years of programming experience with one or more general purpose programming languages, including but not limited to: Java, C, C++, C#, Swift/Objective C, Python, Go, or JavaScript.
  • 1+ years of experience working on Cloud technologies (AWS preferred), and concepts (Containers or Serverless) and solid understanding of AWS technologies such as EMR, S3, EC2 and Redshift.
  • Experience with Data Science Technologies (R, Python, SAS) and concepts (Predictive analytics, Regression, etc)
  • Experience working with Unix-like systems

Doctorate degree


Master's degree and 3 years of Information Systems experience


Bachelor's degree and 5 years of Information Systems experience


Associate degree and 10 years of Information Systems experience


High school diploma / GED and 12 years of Information Systems experience

Preferred Qualifications

  • Experience with Databricks, EKS, Gitlab CI/CD is a plus
  • Background in machine learning frameworks, data modeling, object-oriented programming and/or functional programming
  • Understanding of at least one RDBMS (Postgres, MySQL, MSSQL, Oracle, etc.)
  • Experience working with various IT development techniques like Agile and DevOps


Some of the vast rewards of working here

As we work to develop treatments that look after others, so we work to nurture for our teammates' professional and personal growth and well-being.
  • Full support and career-development resources to expand your skills, enhance your expertise, and maximize your potential along your career journey
  • A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
  • Generous Total Rewards Plan-comprising health, finance and wealth, work/life balance, and career benefits-with compensation and benefits rated above 4 stars (out of 5) on Glassdoor

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

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 but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

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, or disability status.

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 requires all staff in the United States and Puerto Rico to be vaccinated from COVID 19 as a condition of employment. In accordance with applicable law, Amgen will provide reasonable accommodations to staff members who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Amgen, its operations, or its staff.