Reinforcement Learning Research Engineer — Large-Scale AI

AI Breaking Wire; Northern, New York (KY, NY); Hybrid; USD 220,000 - 380,000; Full time

Benefits offered by this job

Stock options

Health benefits

Parental leave

Continuous learning opportunities

Job summary

Google DeepMind is seeking an AI Research Engineer specializing in reinforcement learning to advance agent capabilities across complex environments. You will bridge theory and large-scale applications with cross-functional teams and rigorous empirical evaluation.

We value advanced degrees and deep RL expertise, with opportunities for stock-based compensation, comprehensive benefits, and continuous learning through state-of-the-art facilities in New York.

Qualifications

• Advanced degree in CS/ML required or equivalent.
• Demonstrated expertise in RL algorithms and experiments.
• Strong programming background in Python with ML frameworks.

Responsibilities

• Develop novel RL algorithms for complex, multi-agent settings.
• Bridge theory and practical large-scale RL applications.
• Conduct empirical evaluations across benchmarks.
• Collaborate with product and engineering teams to integrate RL.

Skills

Python

Reinforcement Learning

PPO

DQN

Actor-Critic

Education

M.S./Ph.D. in Computer Science or ML

Tools

JAX

TensorFlow

Job description

Google DeepMind is seeking an AI Research Engineer specializing in reinforcement learning to advance agent capabilities across complex environments. You will bridge theory and large-scale applications with cross-functional teams and rigorous empirical evaluation.

We value advanced degrees and deep RL expertise, with opportunities for stock-based compensation, comprehensive benefits, and continuous learning through state-of-the-art facilities in New York.