Senior AI Research Scientist, Foundation Models In-Office

RoboForce; Milpitas (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Stock options

Health, dental, and vision insurance

401(k) plan

Visa sponsorship

Team lunches & events

Job summary

RoboForce in Milpitas, CA is seeking a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence.

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.

Qualifications

• PhD in Machine Learning, Robotics, or related field, or Master's with 4+ years of experience.
• Proficiency in Python and deep learning frameworks (PyTorch, JAX).
• Expertise in large foundation models (VLM, VLA).
• Strong world-model and action-conditioned generation knowledge.
• Familiarity with multimodal models and modern ML architectures (transformers, diffusion).
• Requires 5 days/week in-office collaboration with the teams.

Responsibilities

• Design and deploy vision-language models for contextual understanding and robot action policies.
• Develop world models for action-conditioned prediction, planning, and environment simulation.
• Research multi-modal inputs to improve world-model fidelity.
• Build foundation models with spatial reasoning for precise robotic actions.
• Integrate multi-modal data to enable natural human-robot communication.
• Optimize and deploy production-grade models on RoboForce platforms.

Skills

Python

PyTorch

JAX

Foundation models

World models

Multimodal ML

Transformers

CUDA

TensorRT

Education

PhD in ML/Robotics or related field

MS with 4+ years experience

Tools

TensorRT

CUDA

Git

Job description

RoboForce in Milpitas, CA is seeking a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence.

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.