What are the responsibilities and job description for the Staff Research Engineer - Post Training position at P-1 AI?
> about P-1 AI
Building Engineering AGI for the physical world
> about the role
As a Research Engineer here, you will be responsible for building and deploying AI systems ([multimodal] LLMs) with quantitative reasoning capability that can perform previously impossible tasks or achieve unprecedented levels of performance in the domain of designing physical systems. We're looking for people with solid engineering skills, writing bug-free machine learning code, and building the science behind the systems employed (algorithms, data, evals). You will get exposure and will be expected to solve and take ownership of components across the entire stack. You will be interfacing with simulation engineering and domain experts to deploy this technology on real-world problems.
> tech stack
This is a hybrid role but principally based in San Francisco. Candidates are expected to be located in the Bay Area or open to relocation.
> interview process
Building Engineering AGI for the physical world
> about the role
As a Research Engineer here, you will be responsible for building and deploying AI systems ([multimodal] LLMs) with quantitative reasoning capability that can perform previously impossible tasks or achieve unprecedented levels of performance in the domain of designing physical systems. We're looking for people with solid engineering skills, writing bug-free machine learning code, and building the science behind the systems employed (algorithms, data, evals). You will get exposure and will be expected to solve and take ownership of components across the entire stack. You will be interfacing with simulation engineering and domain experts to deploy this technology on real-world problems.
> tech stack
- Python
- PyTorch
- C
This is a hybrid role but principally based in San Francisco. Candidates are expected to be located in the Bay Area or open to relocation.
> interview process
- Recruiter screen with our Talent Lead (30 mins)
- Hiring manager screen with our Head of AI (30 mins)
- Technical Interview 1 (Leetcode) - Assessing SWE skills (1 hour)
- Technical Interview 2 (ML debugging & Post-training research discussion) - Assessing transformer knowledge and ability to read papers (1 hour)
- Final Interview - Cultural Chat with our CEO (1 hour)