Machine Learning Engineer Job at Signify Technology in Alameda

Senior Machine Learning Engineer — 3D Reconstruction

About the role

We're hiring a Senior Computer Vision Engineer to lead our 3D work — reconstruction, neural rendering, and the production systems that bring them to life. You'll work with real-world sensor data, modern techniques like Gaussian Splatting, and have real scope to shape both our research direction and the systems we ship.

This is a senior, hands-on role for someone who's lived inside 3D systems before — ideally at a self-driving car company, robotics startup, or another team pushing 3D reconstruction into the real world. If you're equally comfortable reading a neural rendering paper and shipping production code, you'll feel at home here.

What you'll do

• Design and build 3D reconstruction pipelines from real-world sensor data
• Work with neural splatting (Gaussian Splatting) and neural rendering methods alongside classical 3D techniques
• Solve hard problems across calibration, multi-view geometry, optimization, and rendering at scale
• Move research-grade prototypes into reliable production systems
• Contribute across our stack in TypeScript, Python, and AWS

Required qualifications

• PhD + 2 years of relevant experience, OR Master's + 5 years of relevant experience, OR strong startup experience shipping 3D technologies
• Direct, hands-on experience with 3D reconstruction (self-driving, robotics, AR/VR, or mapping)
• Solid grounding in 3D fundamentals: camera models, multi-view geometry, point clouds, meshes, SDFs
• Working familiarity with neural splatting (Gaussian Splatting, NeRF-family methods) and modern neural rendering
• Strong software engineering fundamentals — comfortable owning systems in production
• Proficient in Python and willing to work in TypeScript on AWS

Preferred qualifications

• Experience at a self-driving car company, robotics company, or 3D-focused startup
• Track record of bringing strong colleagues with you — we deeply value candidates who can attract and refer other top talent

Compensation & benefits

• Base salary: $300,000
• Equity in an early-stage company