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Member of Technical Staff

New York City💼 Full-time🗓 2026-06-24 → 2026-09-26

Core

Training action policies and world models on the largest corpus of action-labeled gaming data to enable perception, prediction, and action across virtual and physical environments.

Role type

Research and engineering IC (action models/world models)

Builds

Large action models and world models for gaming and real-world intelligence

Domain

Gaming data, AI, machine learning, robotics

Deliverable

production ML models

Required skills

machine learning, action modeling, world modeling, data engineering, systems design

Preferred skills

research, infrastructure, cross-functional problem solving

Technologies

N/A

Responsibilities

Train action policies and world models on gaming data; solve critical problems across research, engineering, and infrastructure

Seniority

Individual Contributor (flexible level based on strengths)

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