Role OverviewWe are looking for a highly skilled Machine Learning Engineer / Research Engineer to join our founding team and help develop intelligent systems that transform how hardware and mechanical engineers design products. This is a unique opportunity to work at the intersection of cutting-edge machine learning research and real-world engineering applications.
What You Will Do
Design, train, and optimize custom deep learning models that understand CAD workflows and generate intelligent next-step design recommendations. Develop novel machine learning approaches for geometry, design, and engineering-related datasets.
Why It Might Be a Fit
You are a fundamentally strong machine learning builder who cares equally about theory and production. You enjoy reading research papers, developing novel approaches, and translating ideas into production systems that create measurable impact for users.
Requirements
- 4+ years of hands-on machine learning experience in industry, research, or a combination of both
- Equivalent Master's or PhD research experience will be considered
- Demonstrated success designing, training, improving, and deploying machine learning models—not simply utilizing hosted AI APIs
- Expert-level proficiency with PyTorch (preferred) or similar frameworks such as TensorFlow or JAX
- Strong Python programming skills with experience building production-ready systems
- Minimum 4 years of relevant industry or equivalent academic experience
Benefits
- Competitive salary ($110,000 – $165,000)
- Meaningful equity ownership
- Comprehensive medical, dental, and vision insurance
- Catered team lunches at the San Mateo office
- Unlimited / flexible paid time off
- High-impact role within a YC-backed startup
- Direct collaboration with experienced founders and engineers
- Significant opportunities for growth, learning, and career advancement
- Opportunity to help define the future of AI-powered CAD and hardware design
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