Member of Engineering (Evaluations)
- Position
- Full-time
- Location
- Remote (EMEA/East Coast)
ABOUT POOLSIDE
In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. 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 and engineering at scale. They will create powerful economic engines. 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.
poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.
We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.
At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.
ABOUT OUR TEAM
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.
ABOUT THE ROLE
Design and implement the infrastructure and tooling used by poolside researchers and engineers.
YOUR MISSION
To ensure our progress leads to meaningful improvements to our users.
RESPONSIBILITIES
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
SKILLS & EXPERIENCE
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
PROCESS
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team-fit call with Beatriz, our Head of People
Final interview with Eiso, our CTO & Co-Founder
BENEFITS
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
- Position
- FullTime
- Location
- Remote (EMEA/East Coast)
More R&D roles
- Member of Engineering (Coding AI Tutor)
- Member of Engineering (Fine-tuning)
- Member of Engineering (GPU)
- Member of Engineering (Human Data)
- Member of Engineering (Inference)
- Member of Engineering (Pre-training)
- Member of Engineering (Pre-training / Data)
- Member of Engineering (Reinforcement Learning)
- Member of Engineering (Search)
- Position
- Full-time
- Location
- Remote (EMEA/East Coast)