✦ Luna Orbit — AI & Machine Learning

Senior Machine Learning Engineer, Computer Vision - Robotics

at Scale AI

📍 San Francisco, CA Onsite Posted April 02, 2026
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Position Details

Type Full-Time
Experience senior
Exp. Years 5+ years
Education PhD in Computer Science or related field OR Master’s + 4 years
Category AI & Machine Learning

About this role

Scale AI’s Robotics unit seeks a Senior Machine Learning Engineer, Computer Vision - Robotics to translate cutting-edge CV algorithms into production-ready robotics systems.

Key Responsibilities

  • Pioneer Core CV Algorithms
  • Drive 3D reconstruction and SLAM research
  • Build real-time CV systems for robotics
  • Collaborate with Software, Product, and Hardware teams
  • Publish IP and patents

Technical Overview

Deep learning frameworks PyTorch/TensorFlow/Jax; languages Python and C++; focus on 2D/3D CV, SLAM, 3D reconstruction, edge deployment and real-time processing.

Ideal Candidate

A senior CV/robotics ML engineer with 5+ years of CV/DL experience, expert in PyTorch/TensorFlow/Jax, and capable of producing production-grade edge/robotics ML systems.

Must-Have Skills

PhD or MS+4 years5+ years hands-on algorithm development for 2D/3D computer vision and deep learningDeep Learning Frameworks: PyTorchTensorFlow or JaxProgramming: PythonC++

Nice-to-Have Skills

Experience building and deploying ML systems to edge devicesExperience with real-time video processing

Tools & Platforms

PyTorchTensorFlowJaxPythonC++

Required Skills

5+ years hands-on algorithm development for 2D/3D computer vision and deep learningPyTorchTensorFlow or JaxPythonC++

Hard Skills

PythonC++PyTorchTensorFlowJax2D computer vision3D computer visionSLAM3D reconstructionedge deploymentreal-time systems

Soft Skills

leadershipmentorshipcross-functional collaborationcommunication

Industry & Role

Industry SaaS
Job Function Lead development of computer vision algorithms for robotics and production ML systems

Deal Breakers

5+ years CV/DL algorithm development, C++ and Python proficiency, PhD or MS+4 years, Onsite SF

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