World Model / Action Policy Researcher (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
World Model / Action Policy Researcher (AI): Building and optimizing world models and action policies for agentic systems with an accent on deep spatial and temporal reasoning and video understanding beyond games. Focus on designing policy networks, solving complex simulation challenges, and ensuring transfer learning effectiveness.
Location: On-site in New York City (5 days in the office)
Salary: $350,000–$450,000 USD (offers equity)
Company
builds intelligent machines that acquire a of reality, leveraging Medal's gaming moments to train uniquely capable agentic systems.
What you will do
- Push the frontier in agents capable of deep spatial and temporal reasoning.
- Develop world models to provide training environments for agents.
- Advance video understanding with a focus on transfer beyond games.
- Design and evaluate policy networks using reinforcement learning.
- See ideas through from concept to proof to deployment.
Requirements
- 5+ years of experience in deep learning research or reinforcement learning, with a focus on embodied agents or simulation environments.
- Strong foundation in representation learning and generative modeling (diffusion models, VAEs, and transformers applied to video).
- Experience with world models and predictive control.
- Proficiency in reinforcement learning (RL, model-based RL, or imitation learning).
- Programming fluency in Python and deep learning frameworks such as PyTorch.
- Strong experimental skills with large-scale training, evaluation pipelines, and complex datasets/simulations.
- Must be based in New York City and work 5 days in the office.
Nice to have
- Publications or open-source contributions in areas like world modeling, simulation learning, or agent policies.
- Interest in interactive environments, physics-based simulations, or gaming AI.
- Experience with Unity, Unreal Engine, or custom simulators.
Culture & Benefits
- Work on cutting-edge research connecting AI, gaming, and simulation.
- Collaborate with a passionate team that values creativity, ownership, and technical depth.
- Competitive salary and equity options.
- Comprehensive health insurance and 401k.
- Opportunity to see your research shape real-world interactive experiences for millions of users.
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