Posted by RoboForce is hiring a Senior / Staff AI Research Scientist specializing in Foundation Models in Milpitas, California. This is a full-time, in-office opportunity focused on advancing robotic embodied intelligence through artificial intelligence, foundation models, and world-model research.
The successful candidate will work on technologies that help robots understand their environments, plan and execute physical tasks, and interact naturally with people. The position focuses particularly on vision-language-action models, world models, multimodal learning, spatial reasoning, and production deployment on robotic platforms.
RoboForce also states that visa sponsorship and green card support are available for qualified candidates, making this an opportunity for eligible international AI and robotics researchers.
Job Overview
- Job Title: Senior / Staff AI Research Scientist, Foundation Models
- Company: RoboForce
- Location: Milpitas, California, United States
- Employment Type: Full-time
- Work Arrangement: In-office, five days per week
- Education: PhD in Machine Learning, Robotics, or a related field, or Master’s degree with 4+ years of relevant experience
- Core Areas: AI research, foundation models, robotics, world models, multimodal learning
- Visa Sponsorship: Available for qualified candidates
- Green Card Support: Available for qualified candidates
About RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for work described by the company as dull, dirty, and dangerous.
Its robots are designed for demanding industrial environments, with an emphasis on real-world deployment and scalability. The company is building robotic systems capable of operating in physical environments and handling complex tasks.
Job Description
The Senior / Staff AI Research Scientist will contribute to the development of foundation models for robotic embodied intelligence.
The role centers on building AI systems that enable robots to understand their surroundings, interpret instructions, perform tasks, communicate with humans, and make predictions about the consequences of their actions.
A major focus will be developing world models that support prediction, planning, simulation, and generalization across complex physical tasks. The scientist will also work on multimodal AI and deploy research models as production-grade solutions on RoboForce robotic platforms.
Key Responsibilities
The AI Research Scientist will:
- Design and deploy vision-language and vision-language-action models for contextual understanding and generalized robotic action policies.
- Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation.
- Research methods for improving the accuracy and fidelity of world models.
- Work with multimodal inputs including vision, language, proprioception, and spatial representations.
- Develop foundation models with spatial reasoning capabilities for precise robotic actions.
- Integrate vision, language, speech, and other multimodal data sources.
- Support natural communication between humans and robots.
- Optimize AI models for deployment on RoboForce robotic platforms.
- Turn research developments into production-grade robotic solutions.
Qualifications and Requirements
Candidates should have strong expertise in artificial intelligence, machine learning, and robotics.
Required Qualifications
- PhD in Machine Learning, Robotics, or a related field.
- Alternatively, a Master’s degree combined with at least four years of relevant experience.
- Strong proficiency in Python.
- Experience with deep learning frameworks such as PyTorch or JAX.
- Expertise in large foundation models, including VLMs and VLAs.
- Strong understanding of world-model architectures.
- Knowledge of action-conditioned generative modeling for robot learning.
- Understanding of multimodal models and modern machine learning architectures.
- Familiarity with technologies such as transformers and diffusion models.
- Ability to collaborate with teams in the office five days per week.
Bonus Qualifications
The following experience is listed as an advantage:
- Video generation or prediction models.
- Diffusion-based video models.
- Autoregressive video transformers.
- Applying video models to world modeling or synthetic data generation for robot learning.
- Strong publication record at leading conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, ICRA, or equivalent venues.
- Neural network deployment technologies such as TensorRT.
- GPU programming using CUDA.
- Designing scalable experimentation pipelines.
- Developing scalable data pipelines.
Salary and Benefits
The listing does not provide a specific salary range for the AI Research Scientist position.
RoboForce lists the following benefits:
- Competitive stock options and equity programs.
- Health insurance.
- Dental insurance.
- Vision insurance.
- 401(k) plan.
- Visa sponsorship for qualified candidates.
- Green card support for qualified candidates.
- Lunches and dinners.
- Fully stocked kitchen.
- Regular team-building events.
Visa Sponsorship and Green Card Support
RoboForce explicitly states that visa sponsorship and green card support are available for qualified candidates.
The listing does not specify which visa categories are supported or provide further details about the eligibility criteria for sponsorship or permanent residence assistance.
Who Should Apply?
This opportunity is suited to experienced AI researchers and robotics specialists with advanced knowledge of foundation models, multimodal machine learning, and robotic learning.
Candidates should be comfortable working with Python and modern deep learning frameworks and should have a strong understanding of VLMs, VLAs, world models, generative modeling, and related AI architectures.
Researchers with experience in video generation, neural network deployment, CUDA, scalable experimentation, or academic publication may also bring the bonus qualifications identified by RoboForce.
The position requires five days per week of in-office collaboration, so applicants should be prepared for a fully on-site working arrangement in Milpitas, California.
Frequently Asked Questions
What is the job title?
The position is for a Senior / Staff AI Research Scientist specializing in Foundation Models.
Where is the AI Research Scientist job located?
The position is based in Milpitas, California, United States.
Is the position full-time?
Yes. The RoboForce AI Research Scientist position is listed as full-time.
What educational qualifications are required?
Candidates need either a PhD in Machine Learning, Robotics, or a related field, or a Master’s degree with at least four years of relevant experience.
Does RoboForce offer visa sponsorship?
Yes. RoboForce states that visa sponsorship is available for qualified candidates.
Does RoboForce provide green card support?
Yes. The listing states that green card support is available for qualified candidates.
What programming language is required?
Proficiency in Python is required, along with experience using deep learning frameworks such as PyTorch or JAX.
Does the job require working in an office?
Yes. The position requires five days per week of in-office collaboration with the teams.
How to Apply
Interested candidates who meet the required qualifications and experience criteria should submit their application.
Post Disclaimer: International Jobs Recruitment (IJR) is a global career platform that connects job seekers with employment opportunities from trusted employers worldwide. IJR is not the hiring organization and does not influence recruitment decisions. For any specific inquiries regarding job status or application requirements, please contact the official hiring organization directly via the links provided.