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 will be part of the data platform team, which enables applied research teams at poolside to build high quality and large datasets for pretraining and postraining, run large-scale experiments end to end from data retrieval to running evaluations and benchmarks.
YOUR MISSION
Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation.
RESPONSIBILITIES
As a member of this team, you will:
Build modular, reusable data processing frameworks and libraries in Python
Work with applied research teams to build, test, scale and improve specific pipelines
Work with both open-source big data solutions and internal systems
Enhance system performance and reliability to allow teams to iterate faster
Lead best practices in Python development
SKILLS & EXPERIENCE
Proficient in Python
Debugging and problem-solving: using debugging tools, profilers, etc
Experience with build tools, packaging and CI/CD pipelines
Experience with testing code: unit testing, integration testing
Other relevant tools/experience:
Experience with Kubernetes, Terraform
Experience with monitoring and alerting (Grafana, Prometheus, Datadog)
Programming skills in Go or other languages
PROCESS
Intro call with a member of our team
Technical Interview(s) with a member of our engineering team
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
