Senior ML Research Engineer, Embodied Intelligence

RoboForce•Milpitas, CA

8d•Onsite

About The Position

RoboForce is an AI robotics company building Physical AI and Robo-Labor system for dull, dirty, and dangerous work. Our flagship robot, TITAN, is a super humanoid robot designed for industrial environments. We are based in Milpitas, CA and require 5 days/week in-office collaboration. We are looking for a Senior 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.

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.

Nice To Haves

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.

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.