Research Manager - Post-Training for Agents

What you'll do

• Set technical direction and lead research on agent post-training and reinforcement learning.
• Mentor researchers and research engineers while contributing to research strategy, experimentation, model development, and technical problem-solving.
• Develop training methods, simulated environments, synthetic data, and evaluation frameworks, and collaborate across Research, Product, and Engineering to bring advances into products.

What they ask for

• PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• Deep expertise in reinforcement learning, AI agents, post-training, or generative modeling.
• Hands-on experience designing or implementing reinforcement learning systems, agent training methods, simulated environments, synthetic data pipelines, or evaluation frameworks.
• Track record of research impact and experience leading, mentoring, and developing teams while remaining hands-on.

Pay

$244,000 — $305,000 USD yearly base salary

Tools

reinforcement learning, simulated environments, synthetic data generation, evaluation frameworks, NeurIPS, ICLR, ICML

AI focus

Research on agent post-training, reinforcement learning, autonomous agents, simulated environments, synthetic data generation, and evaluation methods.