poolside is hiring for a

Member of Engineering, Data

Position: Full-time, indefinite contract

Location: Remote EMEA/East Coast or Paris

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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

This is a hands-on role where you'll work end-to-end to produce the highest quality datasets.

You'll have to build and operate tools and automation that will help you and your teammates to process, clean, filter, categorize, deduplicate, transform data and metadata from various sources and make it available for other teams to consume.

The datasets can be quite large and we need to move quickly, so it's very important to know how to process data at scale.

Your mission

To produce the best dataset to train our models.

Responsibilities

The quality of LLM models heavily depends on the data it's trained on.

Several other teams depend on the data in order to do their magic and you'll have to work closely with them and help them thrive. You'll be writing code and designing distributed systems. You'll be constantly balancing short term and long term priorities and you'll have to find pragmatic approaches to unblock other teams as the need arises.

Skills & Experience

Experience building large scale streaming and batch data processing pipelines
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.