Machine Learning Research Engineer

P-1 AI • San Francisco, CA

5d

About The Position

We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.
Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).
As a Machine Learning Research Engineer you will be creating the most critical AI features of the core Archie product. You will work closely with fellow AI research scientists, forward deployed engineers, software engineers and subject matter experts to build cutting edge AI capabilities that can perform real engineering design tasks.
In this role, you are expected to take ownership and do whatever it takes to deliver game changing capabilities. Your key technical decisions will directly impact how the world’s largest manufacturers and engineers throughout the world design and build physical products. You’ll have the chance to build and deliver applications that leverage state of the art tools in Machine Learning and AI to shape the physical world around us.

Requirements

• Experience transitioning AI research prototypes into delivered products
• Experience building physical systems (Aerospace, Mechanical, Robotics, other)
• Deep learning experience with strong fundamental understanding about machine learning

Responsibilities

• Learn from leading experts in aerospace, electrical, mechanical and automotive engineering to develop AI tools and features that solve real design engineering problems.
• Collaborate with research scientists to help train large language models and transition them into a core product (Mid-Training, SFT, RL, Post-Training)
• Build new agentic features and integrations with major engineering design tools

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed