AI Research Engineer, Reinforcement Learning

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

# AI Research Engineer, Reinforcement LearningGoogle DeepMind## Job Description### About Google DeepMindGoogle DeepMind is at the scientific forefront of artificial intelligence, building foundational systems that solve complex scientific and real-world challenges.### Responsibilities- Develop novel reinforcement learning algorithms to enhance agent capabilities in complex, multi-agent environments.- Bridge the gap between theoretical RL research and practical, large-scale applications.- Conduct rigorous empirical evaluations of algorithms across various simulated and real-world benchmarks.- Partner with cross-functional product and engineering teams to integrate RL techniques into core Google technologies.### Requirements- Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, or related quantitative discipline.- Strong expertise in Reinforcement Learning algorithms (PPO, DQN, Actor-Critic, etc.).- Excellent programming skills in Python with solid experience using JAX or TensorFlow.- Demonstrated ability to independently design, execute, and analyze complex machine learning experiments.### Benefits- Competitive compensation including base salary, bonus, and stock options.- Comprehensive health and wellness benefits.- Generous parental leave and family support programs.- State-of-the-art office spaces with continuous learning opportunities.## Skills & Tagspythonjaxtensorflowreinforcement-learningresearch## Job DetailsFull-timeNew York, NY$220k – $380k USDPosted September 14, 2026Expires November 13, 2026