Tech: Engineer

Celena Recruiting; San Francisco (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Celena Recruiting is assisting a client at the intersection of AI and physical systems in San Francisco, seeking new grads with raw ability across ML, geometry, graphics, and AI. The role emphasizes strength in one area with curiosity about others, starting as a generalist and evolving with performance.

The team builds geometry/data pipelines, evaluation tooling, and internal support systems, with opportunities to contribute across CAD parsing, feature extraction, and model evaluation harnesses.

Qualifications

• Experience with ML training, data pipelines, or internal tooling.
• Internships or research at organizations with a high hiring bar: top aerospace, automotive, robotics companies, leading AI research labs, or major tech companies, or a lab affiliation.
• BS or MS in CS, engineering, math, physics, or a related technical field from a highly competitive, top-tier program.

Responsibilities

• Build and maintain geometry and data pipelines. Parse CAD, convert formats, extract features, and verify that what comes out matches what went in.
• Write the evaluation harnesses and tooling that tell the team whether a model actually got better.
• Support training and experiment runs. Instrument them, debug failures, and turn results into something readable at a glance.
• Build internal tools that remove friction for everyone else.
• Take well-scoped pieces of larger research and engineering efforts, then grow your scope as you earn it.

Skills

Python

C/C++

Data pipelines

Internal tooling

Education

BS or MS in CS or related technical field

Job description

Our client works at the intersection of AI and physical systems, and they are hiring new grads for raw ability rather than domain experience. The role is deliberately broad: machine learning, geometry, graphics, and AI, spanning geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. They want real strength in one of those areas and curiosity about the rest.

What will you be doing?

• Build and maintain geometry and data pipelines. Parse CAD, convert formats, extract features, and verify that what comes out matches what went in.
• Write the evaluation harnesses and tooling that tell the team whether a model actually got better.
• Support training and experiment runs. Instrument them, debug failures, and turn results into something readable at a glance.
• Build internal tools that remove friction for everyone else.
• Take well-scoped pieces of larger research and engineering efforts, then grow your scope as you earn it.

Work experience

• Experience with ML training, data pipelines, or internal tooling
• Internships or research at organizations with a high hiring bar: top aerospace, automotive, or robotics companies, leading AI research labs, or major tech companies, or a lab affiliation

Education

• BS or MS in CS, engineering, math, physics, or a related technical field, from a highly competitive, top-tier program

Hard skills

• Proficient in Python and/or C/C++

Seniority

• 0–2 years of experience (ONLY) in software engineering, including internships and research

Miscellaneous

• Willing to start as a generalist before specializing

Nice-to-have

Hard skills

• Exposure to one of four adjacent domains: CAD, robotics, perception, or graphics and game design. Coursework or projects count; depth is not expected