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Co-CEO & Co-founder

Co-CEO & Co-Founder

Aussie excellence recognised by World Gin Awards

US startup Poolside debuts its first open-weight model, Laguna XS.2, a 33B-A3B-parameter MoE model, and Laguna M.1, a proprietary 225B-A23B-parameter MoE model (Carl Franzen/VentureBeat)

American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding

Sources: AI startup Poolside held talks with Google and others to revive a Texas data center project after a CoreWeave deal and a $2B Nvidia-led round collapsed (Stephen Morris/Financial Times)

Member of Engineering (Back-end)

Poolside is a company focused on building a world where AI drives economically valuable work and scientific progress. The role involves joining the backend team to design and implement the multi-tenant cloud and on-premise Poolside platform, collaborating with various teams to enhance the product experience.

Member of Engineering (Pre-training / Data Acquisition)

Poolside is a company focused on building a world where AI drives economically valuable work and scientific progress. They are seeking a dedicated data acquisition engineer to work with the pre-training data team, responsible for acquiring high-quality pre-training data to enhance the capabilities of frontier models for software development.

Member of Engineering (Pre-training / Synthetic Data)

Poolside is a company aiming to reach Artificial General Intelligence by enhancing software development through innovative systems. The role involves improving the quality of pretraining datasets for AI models, focusing on generating synthetic data at scale and collaborating with various teams to meet high-quality data needs.

Head of Product Experience

Poolside is a pioneering company aiming to achieve Artificial General Intelligence by reshaping the developer experience through innovative systems. The Head of Product Experience will lead the design team to define and deliver a compelling product experience, drive product vision, and enhance Poolside's presence in the AI landscape.

Design Engineer

Poolside is a forward-thinking company focused on achieving Artificial General Intelligence through innovative software development. The Design Engineer will ensure high-quality design consistency across all company surfaces, collaborating closely with product and engineering teams to elevate the overall user experience.

Member of Engineering (Design Engineer, Full Experience)

Poolside is a company focused on building a world where AI drives economically valuable work and scientific progress. The role involves owning the quality and consistency of design across product, marketing, and systems, while also writing reusable frontend code and collaborating closely with other designers and engineers.

Member of Engineering (Reinforcement Learning Infrastructure)

Poolside is a company focused on building a world where AI drives economically valuable work and scientific progress. The role involves working on the reinforcement learning team to improve Large Language Models through hands-on research and development of training algorithms and infrastructure.

Forward Deployed Research Engineer

Poolside is focused on creating Artificial General Intelligence and is seeking a Forward Deployed Research Engineer (FDRE). In this role, you will collaborate closely with customers to build real agentic systems, while engaging in frontier AI R&D and deploying high-reliability systems.

Forward Deployed Research Engineer (FDRE - Clearance)

Member of Engineering (Post-training)

Poolside is a company focused on building Artificial General Intelligence and reshaping the developer experience. They are seeking a Member of Engineering to work on their Applied Research team, specifically turning pre-trained LLMs into well-aligned AI systems for coding and software development.

Poolside is a company focused on building a world where AI drives economically valuable work and scientific progress. They are seeking a Member of Engineering to work on their data team, improving the quality of pretraining datasets and generating synthetic data at scale. The role involves collaboration with various teams to define data needs and ensure high-quality datasets for training large models.