Machine Learning Engineer

About Apiphany Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers.

Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together.

About the Role As a ML Engineer at Apiphany, you’ll develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world. You’ll design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real-world performance tradeoffs.

This is a role for builders who want to push the frontier of what AI can do in the physical world.

Experience & Skills Expert-level programming skills in Python

Solid understanding of deep learning and its applications in natural language processing (NLP)

Deep understanding of large language models (LLMs)

Exceptional problem-solving skills and a passion for pushing the boundaries of AI technology.

Bonus Skills Background in competitive programming.

Contributions to open-source initiatives.

Personality & Values: Startup mindset: bias toward action, rapid iteration, and ownership

Mission-driven and customer-obsessed

Self-motivated, collaborative, and eager to raise the bar for the whole team

Passion for building in a fast-paced, hyper-growth startup environment.

Compensation & Benefits: Base Salary: $110,000–$170,000

Equity: Generous Equity

Visa Sponsorship

Hybrid work: 3 days in San Francisco office

401(k) plan

Medical, Dental, and Vision insurance coverage

Snacks at the office

Paid Time Off (PTO): Flexible vacation policy

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