Junior ML & Geometry Engineer

Success Matcher Recruitment; San Francisco (CA); On-site; USD 95,000 - 130,000; Full time

Job summary

Success Matcher Recruitment is partnering with a high-growth company building generative foundation models for mechanical engineering in San Francisco. As an early-career engineer, you’ll join as a generalist and own well-scoped technical projects, with opportunities to expand as you demonstrate impact.

Your work may include building geometry and data pipelines for CAD data, parsing and converting formats, developing evaluation tooling, and supporting ML experiments—across ML, geometry, and

Qualifications

• 0–2 years of experience, including internships and research experience.
• New graduates and early-career engineers are encouraged to apply.
• BS or MS in CS, Engineering, Mathematics, Physics, or a related technical field.
• Strong proficiency in Python and/or C/C++.
• Comfortable working in Linux/Unix environments.
• Familiarity with Git and standard software development tools.
• Visa Sponsorship: H-1B and O-1 sponsorship available.

Responsibilities

• Building and maintaining geometry and data pipelines for CAD and engineering data.
• Parsing CAD data, converting formats, extracting features, and validating outputs.
• Developing evaluation harnesses and tooling to measure model performance.
• Supporting ML training runs and experiments.
• Instrumenting experiments, debugging failures, and turning results into actionable insights.
• Building internal tools that improve engineering and research velocity.
• Working across ML, geometry, graphics, data pipelines, evaluation, and internal infrastructure.
• Taking projects from initial design through implementation and deployment.

Skills

Python

C/C++

Education

BS or MS in Computer Science, Engineering, Mathematics, Physics, or related technical field

Tools

Git

Linux

Job description

Success Matcher Recruitment is partnering with a high-growth company building generative foundation models for mechanical engineering in San Francisco. As an early-career engineer, you’ll join as a generalist and own well-scoped technical projects, with opportunities to expand as you demonstrate impact.

Your work may include building geometry and data pipelines for CAD data, parsing and converting formats, developing evaluation tooling, and supporting ML experiments—across ML, geometry, and