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 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'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data. The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models. YOUR MISSION To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development. RESPONSIBILITIES Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet Develop specialized deep crawlers targeting high-value sources to improve recall and coverage In collaboration with data researchers, own a long-term road map for data acquisition Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality SKILLS
Remote Member of Engineering (Pre-training / Data Acquisition) in Essex
