Founding Research Engineer

Building the world's first AI mechanical engineer.
$100,000 - $140,000
Machine Learning
Entry-Level Software Engineer
In-Person
1 - 10 Employees
AI · Enterprise SaaS

Description For Founding Research Engineer

Camfer is an innovative startup building the world's first AI mechanical engineer, focused on accelerating engineering by making CAD more accessible. Founded in 2024 and backed by Y Combinator, Next47, Bloomberg Beta, and notable investors, they've already achieved significant milestones including winning YC's internal demo day and OpenAI's o1 hackathon.

As a Founding Research Engineer, you'll be at the forefront of developing cutting-edge AI solutions for CAD design. The role involves training models to interpret and edit parametric CAD designs in 3D space, requiring innovative problem-solving and creative approaches. You'll work on exciting projects like generating CAD models from text, developing efficient 3D model representations, and creating RL frameworks.

The company values autonomy, innovation, and truth-seeking, operating as a flat and talent-dense organization. Their team consists of FRC world champions, UC Berkeley alumni/researchers, and former employees from AWS and Meta. With $4.8M in funding and a clear vision to eliminate the buffer between imagination and reality in engineering, Camfer offers an exciting opportunity to work on revolutionary AI applications in mechanical engineering.

Located in San Francisco, they provide an excellent work environment with daily meals, a fully stocked fridge, and plenty of natural light. The role offers competitive compensation including equity, making it an attractive opportunity for those looking to make a significant impact in the intersection of AI and mechanical engineering.

Last updated 14 days ago

Responsibilities For Founding Research Engineer

  • Training models to intelligently interpret and edit parametric CAD designs in 3D space
  • Building custom models to generate parametric CAD models from text
  • Developing efficient vector representations of 3D models
  • Creating evals to measure performance of generations in 3D space
  • Building RL frameworks to train agents

Requirements For Founding Research Engineer

Python
  • Strong fundamental background in algorithms and deep learning
  • Ability to do true innovation and synthesize improvements from various sources
  • High agency and capable of solving problems end-to-end

Benefits For Founding Research Engineer

Equity
  • Espresso machine
  • Meals provided daily
  • Fully stocked fridge
  • Office with natural light
  • Equity compensation (0.50% - 1.00%)

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