Engineering Member – Post-training

🕒 April 22

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poolside

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

poolside is a frontier AI lab and enterprise platform that builds and deploys foundation models, multi-agent systems, and developer-facing tools focused on automating complex software work. The company specializes in on-prem and VPC deployments, security-first integrations, governance, and connectors to enterprise data sources so organizations can run agents and models inside their own boundaries. Poolside embeds research and engineering with customers to deliver outcome ownership, risk controls, and measurable business impact while advancing toward AGI by starting in high-consequence software environments.

📋 Description

• Research and experiment on ways to specialize foundational models to agentic use cases • Build and maintain data and training pipelines • Keep up with latest research, and 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

🎯 Requirements

• Experience with Large Language Models (LLM) • Deep knowledge of Transformers • Strong deep learning fundamentals • Good taste in data • Post-training 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, RLVR, 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, including latest code agents 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