Generalist Engineer, ML & Geometry — On-site SF

davidjoseph-co; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity

Relocation support

Visa sponsorship available

Job summary

davidjoseph-co in San Francisco, CA, is hiring for a broad engineering role early in your career. You will explore machine learning, geometry, graphics, and AI across a small, technically dense team; no CAD/manufacturing background required.

Expect to split time across data pipelines, model evaluation, and internal tooling. This on-site, full-time position offers top-of-market compensation with equity and relocation support, open to visa sponsorships.

Qualifications

• Bachelor's or Master's in CS/Engineering/Math/Physics from a strong program.
• Strong practical coding ability in Python, C, or C++.
• Experience with ML training, data pipelines, or internal tooling is a plus.

Responsibilities

• Build and maintain geometry and data pipelines, parsing CAD and converting formats.
• Write evaluation harnesses and tooling to measure model improvements.
• Support training runs by instrumenting experiments and debugging failures.
• Build internal tools to reduce team friction.
• Own scoped pieces of research and engineering efforts.

Skills

Python/C/C++ coding

Linux tooling

Git

PyTorch/CUDA

Education

Bachelor's or Master's in CS/Engineering/Math/Physics

Tools

PyTorch

CUDA

Linux

Git

Data pipelines

Job description

davidjoseph-co in San Francisco, CA, is hiring for a broad engineering role early in your career. You will explore machine learning, geometry, graphics, and AI across a small, technically dense team; no CAD/manufacturing background required.

Expect to split time across data pipelines, model evaluation, and internal tooling. This on-site, full-time position offers top-of-market compensation with equity and relocation support, open to visa sponsorships.