Member of Engineering (Python Tooling)

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.

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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.

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.

Develop a robust platform that supports the creation of high-quality data pipelines and enables fast, efficient, end-to-end experimentation.

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

• 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

• 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