Member of Engineering (Data Platform)

poolside; United Kingdom; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading AI company in the United Kingdom is seeking a Data Engineer to develop and improve data pipelines and support scalable data infrastructure. As part of a remote-first team, you will be responsible for enhancing system performance and ensuring reliability for large-scale data processing. The ideal candidate will have strong programming skills and experience with distributed systems. This role offers flexible working hours and generous benefits including 37 days of vacation and health insurance allowance.

Benefits

Fully remote work & flexible hours

37 days/year of vacation & holidays

Health insurance allowance for you and dependents

Company-provided equipment

Wellbeing, learning, and home office allowances

Frequent team get-togethers

Great diverse & inclusive people-first culture

Qualifications

• Strong programming skills in either Python, Go, C or C++.
• Experience with distributed systems, data pipelines, and data processing systems.
• Familiarity with container runtimes and Linux system programming.

Responsibilities

• Develop a robust platform for creating high-quality data pipelines.
• Support core data pipelines and improve data infrastructure.
• Enhance system performance, scalability, and reliability.

Skills

Strong programming skills in Python, Go, C or C++

Experience with distributed systems

Experience with data pipelines and data processing systems

Familiarity with Kubernetes

Familiarity with Apache Spark

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.

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 the People team
• 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