Member of Engineering, Applied Research Engineering (Remote)

Poolside; Deutschland; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI research lab is seeking an engineer to build a scalable platform for their fine-tuning efforts, directly impacting AI development. The successful candidate will work with container runtimes and static analysis technologies within a talented team. This position offers the chance to contribute significantly to cutting-edge AI systems in a fast-paced startup environment.

Aufgaben

• Build the code execution platform involving container runtimes, static code analyzers, parsers, and distributed data systems.

Jobbeschreibung

About Poolside

We are software's leading AI research lab.

We are a frontier lab focused on building the most capable models and systems to support them. Our models are generally capable and are purpose-built specifically to excel at software engineering. Our proprietary approach and techniques allow our models to learn like the best developers through trial and error, navigating ambiguity to discover working solutions.

About the Role

Reinforcement Learning from Code Execution Feedback (RLCEF) is our method for enhancing our large language model by completing billions of tasks in tens of thousands of real world software projects (soon millions). You will be working on poolside’s code execution platform that powers RLCEF.

Why you should join

• Code the future of AI-powered development – Build the scalable platform that powers Poolside's fine-tuning efforts, directly impacting how our foundational models learn and improve

• Series C funding imminent – Join a $500M+ Series B startup that's about to close an even larger round, with massive compute resources and runway for years

• Elite engineering culture – 75% of the 120-person team is engineering, working alongside ex-GitHub CTO Jason Warner and top-tier talent from Snap, GitHub, and other leading companies

Your Mission

Build a scalable platform that can support poolside’s fine tuning efforts by code execution and static analysis.

Responsibilities

• On this team you will build our code execution platform which involves working with container runtimes, static code analyzers, parsers and distributed data systems.