Senior AI Research Scientist: Robotics World Models

Embedding VC; Milpitas (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Stock options

Health insurance

Dental/Vision

401(k)

Visa sponsorship

Meals provided

Team events

Job summary

RoboForce is seeking a Senior/Staff AI Research Scientist to advance embodied intelligence for robotic platforms. You will develop and train world models, build vision-language models, and enable humans to interact with robots naturally.

This role requires a PhD or equivalent, strong Python and DL skills, and in-office collaboration in Milpitas, CA. You will contribute to production-grade deployments and push forward cutting-edge foundation models.

Qualifications

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

Responsibilities

• Design and deploy vision-language models and action policies for contextual understanding and robot actions.
• Develop and train world models for action-conditioned prediction and long-horizon planning.
• Research world model fidelity using multi-modal inputs (vision, language, proprioception, spatial representations).
• Develop foundation models with spatial reasoning for high-precision robotic actions.
• Integrate multi-modal data to enable natural human-robot communication.
• Optimize and deploy models as production-grade solutions on RoboForce platforms.

Skills

Python

PyTorch

JAX

VLM/VLA

World models

Transformers

Education

PhD in ML/Robotics

Master's + 4+ years

Tools

TensorRT

CUDA

Job description

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.

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.
• Integrate multi-modal data sources (vision, language, speech, etc.) 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.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX).
• Expertise in large foundation models (VLM, VLA, etc.).
• Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
• Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
• Requires 5 days/week in-office collaboration with the teams.
  
  

Bonus Qualifications

• Experience with video generation or prediction models (e.g., 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).
• Expertise in neural network deployment (e.g., 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.