Machine Learning Engineer

Reposted 18 Days Ago
San Francisco, CA
In-Office
110K-170K Annually
Expert/Leader
Artificial Intelligence • Cloud • Hardware • Software
The Role
As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.
Summary Generated by Built In
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

Top Skills

Deep Learning
Large Language Models
Natural Language Processing
Python
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The Company
HQ: San Francisco, California
28 Employees

What We Do

Billions of unstructured engineering and manufacturing data points turned into actionable insights.
The most accurate AI for product engineering and manufacturing unstructured data. 5x more relevant output than generalized LLMs.

Apiphany connects and transforms your existing unstructured systems, including RFPs, program planning, design specs, functional requirements, test data, purchasing, finance, field reports, and FMEAs, into real-time intelligence.

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