ABOUT POOLSIDE
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.
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
You would be working in our pre-training team focused on building out our distributed training and inference of Large Language Models (LLMs). This is a hands-on role that focuses on software development best practices, maintenance, and code architecture. You will have access to thousands of GPUs to verify changes.
Strong engineering skills are a prerequisite. We assume perfect knowledge of CI/CD, reliability concepts, software architecture, and code quality properties. A basic understanding of LLM training and inference principles is required. We look for fast learners who are prepared for a steep learning curve and are not afraid to step out of their comfort zone.
YOUR MISSION
To help train the best foundational models for source code generation in the world
RESPONSIBILITIES
Propose and evaluate innovations in the training development experience and reliability
Enhance and maintain our training and inference codebases
Write high-quality Python (PyTorch), Cython, C/C++ code. Perform refactorings
Improve CI/CD
SKILLS & EXPERIENCE
Understanding of Large Language Models (LLM)
Basic knowledge of Transformers
Knowledge of deep learning fundamentals
Strong engineering background
Programming experience
Linux
Strong algorithmic skills
Python with numpy, PyTorch, or Jax
C/C++
CI/CD, project maintenance
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 the People team
Final interview with one of our Founding Engineers
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