Senior ML Research Engineer, Embodied Intelligence

RoboForce; Milpitas (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) plan

Lunches and dinners

Fully stocked kitchen

Regular team-building events

Visa sponsorship and green card support for qualified candidates

Competitive stock options/equity programs

Job summary

A leading AI robotics firm in Milpitas is seeking a Senior ML Research Engineer to advance robotic embodied intelligence. You will create algorithms for robots to understand their environment and communicate with humans. The ideal candidate has a PhD in Machine Learning or related fields, or equivalent experience, with proficiency in Python and deep learning frameworks. This role requires 5 days/week in‑office collaboration.

Qualifications

• 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.).

Responsibilities

• Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding.
• Develop foundation models with spatial reasoning capabilities.
• Integrate multi-modal data sources for natural human-robot communication.
• Optimize and deploy models as production-grade solutions on RoboForce robotic platforms.

Skills

Proficiency in Python

Deep learning frameworks (e.g., PyTorch, JAX)

Expertise in large foundation models (VLM, VLA)

Understanding of multimodal models and modern ML architectures

Education

PhD in Machine Learning, Robotics, or related field

Master's degree with 4+ years of relevant experience

Job description

A leading AI robotics firm in Milpitas is seeking a Senior ML Research Engineer to advance robotic embodied intelligence. You will create algorithms for robots to understand their environment and communicate with humans. The ideal candidate has a PhD in Machine Learning or related fields, or equivalent experience, with proficiency in Python and deep learning frameworks. This role requires 5 days/week in‑office collaboration.