Amgen

Principal Machine Learning Engineer

Employer
Amgen
Location
Los Angeles, CA
Posted
Jun 10, 2022
Ref
R-141381
Required Education
High School or equivalent
Position Type
Full time

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like youre part of something bigger, its because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the worlds leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. Its time for a career you can be proud of. Join us.

Principal Machine Learning Engineer (Remote)

Live

What you will do

Lets do this. Lets change the world. In this vital role, the Principal MLE will architect and engineer the technical and data pipelines for digital products that feature AI/ML algorithms, including how data and models will be scaled, monitored, maintained and effectively managed.

The DH&I Data Science & Engineering (DS&E) team is seeking an experienced Principal Machine Learning Engineer (MLE) to advance our mission and help build, deploy and sustain machine learning models that can predict patients risk for particular diseases, infer medicines that could be most efficacious for patients, along with other solutions that benefit patients.

  • Lead efforts with Amgen business leaders to identify, understand, explore, and deliver relevant data analyses to inform data inclusion, exclusion, and sub-setting criteria as well as feature and model selection for DH&I solutions.

  • Collaborate with data scientists to analyze and select appropriate data models and algorithms that focus on improving patient outcomes across multiple therapeutic areas leveraging diverse data.

  • Lead data engineering to extract and create data features from large data sets for input into models.

  • Collaborate with data scientists to define model validation strategies, train and tune models, and analyze and resolve errors in models.

  • Lead model deployment to production.

  • Define and develop model monitoring and maintenance processes including metrics to assess accuracy, drift, etc.

  • Lead and develop standards, processes, and best practices for the team across the data science-based solution implementation lifecycle.

Win

What we expect of you

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

Basic Qualifications:

Doctorate degree and 2 years ofTechnology/Information Systems and/or Engineering experience
OR
Masters degree and 6 years of Technology/Information Systems and/or Engineering experience
OR
Bachelors degree and 8 years ofTechnology/Information Systems and/or Engineering experience
OR
Associates degree and 10 years of Technology/Information Systems and/or Engineering experience
OR
High school diploma / GED and 12 years ofTechnology/Information Systems and/or Engineering experience

Preferred Qualifications:
  • Proven experience leading and collaborating with diverse business stakeholders to deploy a machine learning model to production on Amazon Web Services (AWS) or similar cloud technology service suite.

  • Proficient understanding of distributed compute / data processing technology (e.g. Apache Hadoop, Spark, Hive, Arrow).

  • Hands-on experience using Databricks or Apache Spark (i.e. PySpark, SparkR, or Scala) and understanding best practices.

  • Proficiency using and extending ML frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn).

  • Experience with AWS SageMaker stack.

  • Experience using version control (i.e. Git).

  • Experience working or integrating with Electronic Health Record (EHR) systems such as EPIC, Cerner, and Allscripts.

  • Deep functional knowledge in one or more functional areas (Research, Development, Commercial Operations, Manufacturing) in the healthcare or life science industry.

  • MS or PhD in Computer Science, Business Analytics, Computational Biology, Bioinformatics, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field and 5+ years experience.

  • Publications or conference presentations on topics in the machine learning arena.

  • Entrepreneurial mindset with ability to self-direct.

  • Ability to teach and mentor others.

  • Experience leading a team of engineers.

  • Eagerness to learn new techniques and keep on top of industry trends.

  • Experience in managing project scope.

  • Experience influencing executive leaders both internally and externally (i.e. through external partners and/or academic leaders).

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates professional and personal growth and well-being.

  • Vast opportunities to learn and move up and across our global organization

  • 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

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com
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, Puerto Rico and Canada 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.