Member of Engineering (Post-training) job opportunity at Poolside AI.



bot
Poolside AI Member of Engineering (Post-training)
Experience: General
Pattern: Remote
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
loacation Remote (EMEA/East Coast), United States (East Coast) and Europe (EMEA)
loacation Remote (EMEA/E..........United States (East Coast) and Europe (EMEA)
Auto GPT Summarize Enabled

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.View GDPR PolicyABOUT OUR TEAMWe 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 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 and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

Other Ai Matches

remote-jobserver Remote
Member of Engineering (Post-training) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Member of Engineering (Data Platform Lead) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Member of Engineering (Pre-training / Data Engineering) Applicants are expected to have a solid experience in handling Job related tasks
remote-jobserver Remote
Member of Engineering (Pre-training / Data Research) Applicants are expected to have a solid experience in handling Job related tasks