Requirements and responsibilities
ABOUT POOLSIDEIn 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. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.ABOUT OUR TEAMWe were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; 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 ROLEYou would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines and environments for agentic use cases, researching and implementing post-training algorithms, designing experiments and testing hypothesis, and more. You will have access to thousands of GPUs in this team.YOUR MISSIONTo turn pre-trained LLMs into well-aligned and highly capable AI systems.RESPONSIBILITIESResearch and experiment on ways to specialize foundational models to agentic use casesBuild and maintain data and training pipelinesKeep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generationDesign, analyze, and iterate on training/fine-tuning/data generation experimentsWrite high-quality, pragmatic codeWork as part of a team: plan future steps, discuss, and communicate clearly with your peersSKILLS & EXPERIENCEExperience with Large Language Models (LLM)Deep knowledge of TransformersStrong deep learning fundamentalsGood taste in dataPost-training experience with LLMsExtensively used and probed LLMs, familiarity of their capabilities and limitationsKnowledge of distributed trainingStrong machine learning and engineering backgroundResearch experienceExperience in proposing and evaluating novel research ideasFamiliar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLVR, code generationIs comfortable in a rapidly iterating environmentIs reasonably opinionatedProgramming experienceLinuxStrong algorithmic skillsPython with PyTorch or JaxUse modern tools, including latest code agents and are always looking to improveStrong critical thinking and ability to question code quality policies when applicablePrior experience in non-ML programming, especially not in Python - is a nice to havePROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with one of our Founding EngineersBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you & dependents16 weeks of flexible, full-pay parental leaveWell-being, always-be-learning & home office allowancesCompany-provided equipmentFrequent team get togethersDiverse & inclusive people-first culture
Optionally, you can add more information later (benefits, pre-screening questions, etc.)