Member of Engineering (Data Platform)
- Position
- Full-time
- Location
- Remote (EMEA/East Coast)
ABOUT POOLSIDE
In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. 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 and engineering at scale. They will create powerful economic engines. 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.
poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress.
We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best.
At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.
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
Our data platform 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. You will play a key role in data engineering, ensuring our infrastructure is scalable, reliable, and optimized for large-scale data processing.
RESPONSIBILITIES
As a member of this team, you will:
Work on our data platform, supporting core data pipelines and improving data infrastructure.
Work with both open-source big data solutions and internal systems.
Enhance system performance, scalability, and reliability for large-scale data processing.
SKILLS & EXPERIENCE
Strong programming skills in either Python, Go, C or C++ (we are open to polyglot engineers from other languages)
Experience with distributed systems, data pipelines, data processing systems, and query engines.
Plus: Experience with container runtimes and Linux system programming.
Plus: Familiarity with Kubernetes and Apache Spark
PROCESS
Intro call with one of our Founding Engineers
Technical Interview(s) with one of our Founding Engineers
Team-fit call with Beatriz, our Head of People
Final interview with Eiso, our CTO & Co-Founder
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
- Position
- FullTime
- Location
- Remote (EMEA/East Coast)
More R&D roles
- Member of Engineering (Applied Research Engineering)
- Member of Engineering (Evaluations)
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- Member of Engineering (Inference)
- Member of Engineering (Multimodal & computer use)
- Member of Engineering (Pre-training)
- Member of Engineering (Pre-training / Data)
- Member of Engineering (Reinforcement Learning)
- Position
- Full-time
- Location
- Remote (EMEA/East Coast)