RoboForce Logo

RoboForce

Senior/Staff ML Research Engineer, Perception

Reposted 18 Days Ago
Easy Apply
In-Office
Milpitas, CA
Senior level
Easy Apply
In-Office
Milpitas, CA
Senior level
Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.
The summary above was generated by AI

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 seeking a Senior/Staff ML Research Engineer, Perception to advance AI capabilities in perception for robotics, focusing on enabling robots to understand dynamic environments and perform complex tasks. You will contribute to building robust AI foundations for next-generation robotic platforms.

Responsibilities

  • Develop computer vision models and algorithms, from data preparation to deployment.
  • Build state-of-the-art algorithms for object detection, pose estimation, tracking, depth estimation, multi-sensor fusion, 3D reconstruction, neural rendering and large language models.
  • Implement pipelines for multi-task learning and distributed training.
  • Deploy AI models on RoboForce robots for real-world applications.

Requirements

  • Master’s degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.
  • Strong programming skills in Python.
  • Expertise in modern ML architectures and computer vision techniques.
  • Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar.
  • Strong understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with practical experience in implementing these concepts.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

  • Publication on top conferences in Perception solutions.
  • Proven ability to scale training jobs across GPU clusters.
  • Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.

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.

Top Skills

Cuda
Jax
Python
PyTorch
TensorFlow
Tensorrt

RoboForce Milpitas, California, USA Office

Milpitas, California , United States, 95035

Similar Jobs

An Hour Ago
In-Office
Costa Mesa, CA, USA
129K-171K Annually
Senior level
129K-171K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Vetting Program Manager will develop and oversee screening processes for people risk vetting, manage initiatives, and ensure compliance with security policies.
An Hour Ago
Hybrid
Los Angeles, CA, USA
121K-214K Annually
Mid level
121K-214K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Core Product Designer, you'll create innovative features for Snapchat, enhance user experiences, and collaborate with leadership on design strategies.
Top Skills: FigmaIllustratorSketch
An Hour Ago
In-Office
Costa Mesa, CA, USA
Junior
Junior
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Lead Manufacturing Test Engineer will manage the manufacturing process, develop tooling solutions, write documentation, and work with technicians on hardware development. Responsibilities include collaborating with contract manufacturers and suppliers, ensuring quality, and leading projects in a fast-paced environment.
Top Skills: AssemblyFabricationMachiningPcba FabricationSmt ProcessesSoldering

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account