Generalist engineer (weird)
Location:
Remote OK, office pref.
San Francisco
Salary/equity:
~300k, higher for exceptional candidates
~2%
Role/industry:
Generalist
AI
Exp. floor:
No hard xp floor, see text
Brief description
This is an unusual highly-generalist role that requires a little exposition. It's highly AI-adjacent, but the role itself is not directly an AI engineering role, and is more suited for tinkerers who like variable problem-solving and deep understanding of technical internals.
The company itself is a small 3-person startup working on reinforcement-learning environments for frontier AI. For example, an LLM might generate a Tetris clone; their goal would be to define what success criteria and partial-credit look like - does it look right? play right? is the game design good? that kind of thing.
Culturally, expect weird hackers - this is very much a "bunch of people from MIT and Stanford in a room hacking" sort of company, not MBAs.
The role involves building these scoring criteria, which often involves creative problem solving under tight time constraints, along with more general everyday engineering.
The team is located in SF, but would consider remote for an exceptional candidate.
What they're looking for
[Required]
Exceptional generalist engineering skills. You need to be able to pitch this strongly with something concrete you've built.
Exceptional performance on our interview (well above our normal passing bar)
[Nice to have]
Located in, or willing to relocate to, San Francisco.
Front-end background ("like, worked on NextJS itself, not just builds websites")
Experience with or internal knowledge of frontier AI models, particularly at the big names.
What they're offering
Salary: For a typical candidate, ~300k. For a truly exceptional one, significantly more.
Performance bonuses: A substantial (but ill-defined) additional portion of their comp.
Equity: Substantial, at least a few %.
Company trajectory: millions in monthly revenue (exact number is highly volatile)
Generalist engineer (weird)
Remote OK, office pref.
San Francisco
~300k, higher for exceptional candidates
~2%
Generalist
AI
No hard xp floor, see text
Brief description
This is an unusual highly-generalist role that requires a little exposition. It's highly AI-adjacent, but the role itself is not directly an AI engineering role, and is more suited for tinkerers who like variable problem-solving and deep understanding of technical internals.
The company itself is a small 3-person startup working on reinforcement-learning environments for frontier AI. For example, an LLM might generate a Tetris clone; their goal would be to define what success criteria and partial-credit look like - does it look right? play right? is the game design good? that kind of thing.
Culturally, expect weird hackers - this is very much a "bunch of people from MIT and Stanford in a room hacking" sort of company, not MBAs.
The role involves building these scoring criteria, which often involves creative problem solving under tight time constraints, along with more general everyday engineering.
The team is located in SF, but would consider remote for an exceptional candidate.
What they're looking for
[Required]
Exceptional generalist engineering skills. You need to be able to pitch this strongly with something concrete you've built.
Exceptional performance on our interview (well above our normal passing bar)
[Nice to have]
Located in, or willing to relocate to, San Francisco.
Front-end background ("like, worked on NextJS itself, not just builds websites")
Experience with or internal knowledge of frontier AI models, particularly at the big names.
What they're offering
Salary: For a typical candidate, ~300k. For a truly exceptional one, significantly more.
Performance bonuses: A substantial (but ill-defined) additional portion of their comp.
Equity: Substantial, at least a few %.
Company trajectory: millions in monthly revenue (exact number is highly volatile)
