> about P-1 AI
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—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. 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 just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries such as Jeff Dean, Peter Welinder (VP Product, OpenAI), Zak Stone (Founder, Google’s Cloud TPU business), and Bob van Luijt (Co-Founder & CEO, Weaviate).
> about the role
As a Member of the Technical Staff here, you will be responsible for {mid,post}-training of LLMs, VLMs, GNNs, and other types of AI models with RL and other techniques to build an engineering AI product capable of quantitative multi-physics and spatial reasoning over physical product domains. You don’t need to have experience with all of these model types and training phases, but you should have expertise in one or more, as well as a strong passion for our mission to build an engineering AGI. This is an on-site role based in our San Francisco office in the Mission.
> tech stack
Python
PyTorch
C++
> we expect you to
have strong programming skills and deep understanding of machine learning
experience working with large distributed systems
be comfortable diving into a large ML codebase to debug
have a deep understanding of LLM and/or VLM architectures
have experience with model {mid,post}-training
execute and analyze experiments autonomously and collaboratively
be excited about the prospect of building an engineering AGI
> ++
you’ve built a popular/impactful open source project
you’ve published/co-authored papers on LLMs and/or VLMs
keep up with state-of-the-art LLM/VLM research
> you will thrive in this role if
you have a background in statistical machine learning, computer science, physics, mathematics or another theoretically rigorous field
you are intellectually curious and quick to pick up concepts outside your area of expertise
you love working in a dynamic, fast paced startup environment
> why us?
elite team: our team includes some of the world’s smartest and most successful minds in AI, physics-based modeling, and industry. we only hire A-players.
world-changing mission: we are tackling what is AI’s most impactful mission—improving the built world around us and helping mankind build engineering systems of ever-greater sophistication.
massive market opportunity: our near-term goal is to put an Archie on every engineering team at every industrial company on Earth. this represents a massive market opportunity even before we get to engineering AGI—on the back of which we aim to build one of the greatest companies in history.
ownership culture: we emphasize an open, warm, and collegial culture where every employee behaves like a business owner in founder mode.
in the thick of the AI community: our beautiful office in the heart of SF’s Mission district is rapidly becoming a hub for AI events such as meetups and dinners with AI luminaries. we encourage publications and contributions to open-source projects to give back to the community.
visa support: we work with best-in-class legal services firms to provide visa support including transfers for existing O-1A, H-1B, and OPT visa holders.
> interview process
Initial screening - with head of talent (30 mins)
Hiring manager interview - with head of AI (30 mins)
Technical interview - with head of AI (60 mins)
Technical discussion - with AI chief scientist (45 mins)
Culture fit (maybe in-person) - with co-founder & CEO
