Senior/Staff ML Research Engineer, Embodied Intelligence
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 ML Research Engineer, Embodied Intelligence 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.
Responsibilities
- Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies.
- 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).
- Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
- Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
- Strong publication in top conferences.
- 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.