Machine Learning Engineer

Machine Learning Engineer at Signify Technology Machine Learning Engineer at Signify Technology in San Lorenzo, California Posted in 3 days ago.

Type:

full-time

Job Description:

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