Member of Engineering (Python)
Role Overview
This senior-level role involves building modular, reusable data processing frameworks and libraries in Python as part of the data platform team. You will work with applied research teams to develop, test, scale, and improve data pipelines, enhancing system performance and reliability to enable faster iteration and support large-scale experiments from data retrieval to evaluation.
Perks & Benefits
The role offers fully remote work with flexible hours, 37 days of vacation and holidays per year, and a health insurance allowance for you and dependents. The company provides equipment, allowances for wellbeing, learning, and home office, and fosters a diverse, inclusive, people-first culture with frequent team gatherings and monthly in-person meetups across Europe and North America.
Full Job Description
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. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
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 our Founding Eng. / VP Engineering
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 & dependents
Company-provided equipment
Well-being, always-be-learning & home office allowances
Frequent team get togethers
Diverse & inclusive people-first culture
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