Member of Engineering - Fine-tuning
October 31
Description
•ABOUT POOLSIDE •In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. •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. •ABOUT OUR TEAM •We are a remote-first team that sits across Europe and North America. •ABOUT THE ROLE •You 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. •YOUR MISSION •To turn pre-trained LLMs into well-aligned and highly capable AI systems. •RESPONSIBILITIES •Research and experiment on ways to specialize foundational models to coding use cases •Build and maintain data and training pipelines •Keep up with latest research, be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation •Design, analyze, and iterate on training/fine-tuning/data generation experiments •Write high-quality, pragmatic code •Work as part of a team: plan future steps, discuss, and communicate clearly with your peers. •PROCESS •Intro call with one of our Founding Engineers •Technical Interview(s) with one of our Founding Engineers •Team-fit call with Beatriz, our Head of People •Final interview with Eiso, our CTO & Co-Founder
Requirements
•Experience with Large Language Models (LLM) •Deep knowledge of Transformers •Strong deep learning fundamentals •Good taste in data •Fine-tuning experience with LLMs •Extensively used and probed LLMs, familiarity of their capabilities and limitations •Knowledge of distributed training •Strong machine learning and engineering background •Research experience •Experience in proposing and evaluating novel research ideas •Familiar 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, RLHF, code generation •Is comfortable in a rapidly iterating environment •Is reasonably opinionated •Programming experience •Linux •Strong algorithmic skills •Python with PyTorch or Jax •Use modern tools and are always looking to improve •Strong critical thinking and ability to question code quality policies when applicable •Prior experience in non-ML programming, especially not in Python - is a nice to have
Benefits
•Fully remote work & flexible hours •37 days/year of vacation & holidays •Health insurance allowance for you and dependents •Company-provided equipment •Wellbeing, always-be-learning and home office allowances •Frequent team get togethers •Great diverse & inclusive people-first culture
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