Sr Director- Reinforcement Learning
Job in
Washington, District of Columbia, 20080, USA
Listed on 2026-01-19
Listing for:
Amgen
Full Time
position Listed on 2026-01-19
Job specializations:
-
Software Development
AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
** Sr. Director
- Reinforcement Learning*
* ** What you will do*
* ** Responsibilities**
+ Define enterprise RL roadmaps, landmarks, and success metrics; drive early hands-on prototypesas 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 gradientmethods, 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 groupsto integrate RL into existing workflows and systems.
+ Mentor and develop talent; drive innovation, safety, and scientific/engineeringexcellence.
+ 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
ORMaster's 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 atNeurIPS, 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 of 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.
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 that may include:
+ A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company…
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