About Our Client
Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.
At our company, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.
No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?
Code tutorials + examples:
- Researcher: Automatically research and generate comprehensive reports on any topic
- RAG: Use the platform to enable retrieval augmented generation
- Company Analyst: Automatically research and analyze companies and their competitors
- Recruiting agent: Discover, research, and evaluate exceptional candidates
- Recent News Summarizer: Identify and summarize the latest news on any topic
Desired Experience
- You have graduate-level ML experience (or are an exceptionally strong undergrad)
- You can code up a transformer from scratch in pytorch
- You're comfortable creating large-scale datasets
- Care about the problem of finding high quality knowledge and recognize how important this is for the world
Example Projects
- Train a 30B parameter version of our current model
- Build an RLAIF pipeline for search
- Dream up a novel architecture for search in the shower, then code it up and beat our best model's top score
Compensation:
Very flexible on this, depends on seniority and experience. $140k+ and substantial equity
Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.