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Sr Director- Reinforcement Learning

Job in Washington, District of Columbia, 20022, USA
Listing for: BioSpace
Full Time position
Listed on 2026-01-23
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Overview

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. Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and the opportunities that lie within them, you'll thrive as part of the Amgen team.

Join us and transform the lives of patients while transforming your career.

Responsibilities

What you will do

  • Define enterprise RL roadmaps, landmarks, and success metrics; drive early hands-on prototypes as the capability matures.
  • Architect simulation environments, reward structures, and training loops for scientific and operational RL use cases.
  • Lead algorithmic innovation and technical decisions across model-based RL, policy gradient methods, and actor-critic architectures.
  • Advance RL for scientific domains such as protein design, docking, and structural modeling; expand RL beyond R&D into Manufacturing, Supply Chain, and Commercial applications.
  • Oversee data pipelines, curation, and feature engineering supporting RL experimentation and multi-modal model training.
  • Guide RL pilots from proof-of-concept through production deployment, ensuring ML Ops rigor, versioning, automated testing, monitoring, and continuous training.
  • Partner deeply with biology, engineering, platform teams, product teams, and enterprise AI groups to integrate RL into existing workflows and systems.
  • Mentor and develop talent; drive innovation, safety, and scientific/engineering excellence.
  • Evaluate emerging research, open-source frameworks, and frontier methods (e.g., multi-agent RL, RLHF, simulation-based optimization) for enterprise adoption.
  • Communicate outcomes, technical decisions, and implications to leadership and key stakeholders.
Qualifications

Basic Qualifications

  • Doctorate degree and 5 years of Artificial Intelligence / Machine Learning experience OR Masters degree and 8 years of Artificial Intelligence / Machine Learning experience OR Bachelor's degree and 10 years of Artificial Intelligence / Machine Learning experience.
  • PhD or equivalent experience in ML, RL, or related fields. 10+ years AI/ML;
  • 5+ years reinforcement learning leadership.

Preferred Qualifications

  • Proficient Python, PyTorch/Tensor Flow, distributed training.
  • Contributions to Alpha Fold-like or large-scale scientific AI.
  • Publications at NeurIPS, ICML, or ICLR.
  • Biotech, pharma, or healthcare domain exposure.
  • Familiarity with GxP, HIPAA, or FDA guidance.
  • Experience leading AI Centers of Excellence.
  • Patents or open-source RL contributions.
  • Prior collaborations with academia or top AI labs.
What You Can Expect From Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

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.

Benefits and Total Rewards

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of 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. This includes:

  • 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…
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