Member of Engineering (Multimodal & computer use)

ABOUT POOLSIDE

In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will determine who survives and wins. 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 and engineering at scale. They will create powerful economic engines. 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.

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 because it's the domain where we can combine Search and Learning approaches the best.

At poolside we believe our applied research needs to culminate in products that are put in the hands of people. Today we focus on building for a developer-led increasingly AI-assisted world. We believe that current capabilities of AI lead to incredible tooling that can assist developers in their day to day work. We also believe that as we increase the capabilities of our models, we increasingly empower anyone in the world to be able to build software. We envision a future where not 100 million people can build software but 2 billion people can.

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ABOUT OUR TEAM

We 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 ROLE

You’ll work on introducing new capabilities to our state-of-the-art coding LLMs, making them increasingly autonomous and capable agents in complex environments. You will be part of our model training team and drive the research and development of frontier multi-modal models across the full stack of data, pre-training, and post-training. This role expects a high level of autonomy, ability to navigate highly ambiguous research tasks pragmatically, and excellent ability of end to end execution. You will have access to thousands of GPUs in this team.

YOUR MISSION

To improve our AI models by augmenting their capabilities for autonomous computer use.

RESPONSIBILITIES

• Influence or lead our research directions for multi-modal and computer use capabilities

• Design and build data pipelines and training environments for computer use agents

• Run experimentation cycles end to end: Generate hypotheses, implement the ideas, and run experiments at scale

• Write high-quality code and maintain a high bar of engineering quality

• Work in the team: plan future steps, discuss, and always stay in touch

SKILLS & EXPERIENCE

• Experience training multi-modal Large Language Models (LLMs)

  • Experience in training multi-modal LLMs from scratch

  • Experience with agentic computer use with LLMs

  • Knowledge/Experience of distributed training

• Strong machine learning and engineering background

• Research experience

  • Excellent in navigating open-ended tasks with a pragmatic approach

  • Familiar with the state of the art of multi-modal LLMs and computer use

  • Is comfortable in a rapidly iterating environment

  • Maintains strong opinions, weakly held

• Programming experience

  • Proficiency in Python and a strong grasp of software development principles. Other programming languages (e.g., Rust, JavaScript, C/C++, Java, or Go) are a plus

  • A minimum of 2+ years of professional software engineering experience

  • Ability to ramp up quickly in new environments and infrastructure

PROCESS

• Intro call with Eiso, our CTO & Co-Founder

• 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

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