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Amgen Sr Machine Learning Engineer in Washington D.C., District Of Columbia

HOW MIGHT YOU DEFY IMAGINATION?

You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? 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. Come do your best work alongside other innovative, driven professionals in this meaningful role.

Senior Machine Learning Engineer

Live

What you will do

Amgen is on a mission to unlock the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing, and delivering innovative human therapeutics. The Amgen R&D organization supports this mission by discovering, developing, and delivering transformative medicines that address the leading causes of death and disability. The work we do in R&D is guided by three strategic imperatives: Make focused investment in innovative research platforms; Innovate in Clinical Development; and Address access and use at all stages of drug development. The R&D AI Strategy & Execution (RAISE) team was recently established to accelerate R&D by harnessing AI and emerging digital technologies. The Data Science & Engineering (DS&E) team in RAISE is multidisciplinary group tasked with developing and deploying AI capabilities to accelerate execution of R&D strategic imperatives, which span discovery, development, patient safety, regulatory affairs, and other medical affairs.

Additional capabilities in mechanism-based mathematical modeling, statistical modeling or causal modeling would receive special consideration. Furthermore, domain knowledge in one of biopharmaceutical R&D disciplines is strongly desired.

We are seeking a Senior Machine Learning Engineer to join DS&E. Candidates should possess robust knowledge and hands-on experience in end-to-end ML modeling, including design, development, deployment, monitoring, and maintenance, plus proficiency with cloud computing infrastructure, AWS in particular. In addition to general supervised and unsupervised ML, subareas of interest include natural language processing, image processing, audio processing, and generative AI.

Let’s do this. Let’s change the world. In this vital role you will:

  • Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms, fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems.

  • 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 and establish MLOps practices, including monitoring and maintenance of ML models.

  • Be a technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.

  • Help develop/improve and uphold high engineering standards and best ML practices in the team.

  • Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

  • Doctorate degree OR

  • Master’s degree and 3+ years of experience in MLOps or similar; OR

  • Bachelor’s degree and 5+ years of experience in MLOps or similar; OR

  • Associate degree and 10+ years of experience in MLOps or similar; OR

  • High school diploma/GED and 12+ years of experience in MLOps or similar.

Preferred Qualifications:

  • Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.

  • Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework.

  • Experience with NLP, image processing, and/or audio processing.

  • Outstanding analytical and problem-solving skills; ability to learn quickly.

  • Experience with data modeling; hands-on experience with SQL.

  • Experience with software DevOps CI/CD tools, GitLab.

  • Experience in analyzing time-series data for forecasting and trend analysis.

  • Experience with docker container, Kubernetes container orchestration.

  • Experience with Apache Airflow and Apache Spark; Spark performance turning.

  • Experience with Pharmaceutical industry, commercial operations.

  • Excellent communication skills and ability to work in a team

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.

Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

  • 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 and bi-annual company-wide shutdowns

  • Flexible work models, including remote work arrangements, where possible

Apply now

for a career that defies imagination

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

careers.amgen.com

Amgen is an Equal Opportunity employer and will consider you without regard to your 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.

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