Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence.

In this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans — with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks.

Responsibilities

Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies. Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation — enabling robots to reason about the consequences of their actions before execution. Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations.

Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions. ) to enable natural human-robot communication. Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.

Requirements

PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience. , PyTorch, JAX). ).

Strong understanding of world model architectures and action-conditioned generative modeling for robot learning. ). Requires 5 days/week in-office collaboration with the teams.

Qualifications

, diffusion-based video models, autoregressive video transformers) and their application to world modeling or synthetic data generation for robot learning. Strong publication record at top conferences (NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent). , TensorRT) and GPU programming with CUDA.

Proven ability to design scalable experimentation and data pipelines.

Benefits

Competitive stock options/equity programs. Health, dental, and vision insurance, 401(k) plan. Visa sponsorship and green card support for qualified candidates.

Lunches and dinners, a fully stocked kitchen, and regular team-building events.