Member of Engineering (Evaluations) at Poolside, building evaluation infrastructure and benchmarks for large language models. Focus on designing metrics and tooling for base and instruction-following models used by research and product teams.
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.
We are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.
Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.
Design and implement the infrastructure and tooling used by poolside researchers and engineers.
To ensure our progress leads to meaningful improvements to our users.
Research and implementation of evaluations and benchmarks; both for base models and for instruction following models
Collaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skills
Work in a team: plan future steps, discuss, and communicate clearly with your peers
Experience with Large Language Models (LLM)
Strong understanding and intuition of LLMs, and their limitations
Good taste, and a curious mindset
Strong engineering background
Strong programming skills, ideally across multiple languages
Familiar with full software development life cycle
Programming experience
Linux
Strong algorithmic skills
Multiple languages, including Python
Use modern tools and are always looking to improve
Strong critical thinking and ability to question code quality policies when applicable
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team fit call with the People team
Final interview with one of our Founding Engineers
Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you and dependents
Company-provided equipment
Wellbeing, always-be-learning and home office allowances
Frequent team get togethers
Great diverse & inclusive people-first culture