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.
Reinforcement Learning from Code Execution Feedback (RLCEF) is our method for enhancing our large language model by completing billions of tasks in tens of thousands of real world software projects (soon millions). You will be working on poolside’s code execution platform that powers RLCEF.
Build a scalable platform that can support poolside’s fine tuning efforts by code execution and static analysis.
On this team you will build our code execution platform which involves working with container runtimes, static code analyzers, parsers and distributed data systems.
Strong programming skills in either Go, C, C++ or Python (we are open to polyglot engineers from other languages)
Comfortable with distributed systems
Data pipelines, distributed processing, fault tolerance, performance optimization.
Message queues, event-driven architectures, e.g. Kafka, Google pub/sub.
Clouds: managed services, storage. GCP, AWS, Azure.
Experience with testing code
Unit testing
Integration testing
Test performance optimization
Plus: Experience in container runtimes and Linux system programming
Plus: Experience with build tools and CI/CD pipelines
Other relevant tools/experience:
DevOps: Git, Docker, k8s, Terraform, baremetal.
Monitoring and alerting (Grafana, Prometheus, Datadog).
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
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
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