Member of Engineering (Evaluations)

Remote (EMEA/East Coast) / United Kingdom·Full-time·Added 5 months ago

What they offer

  • Full-time hours

    Per the ad.

  • Fully remote

    Only from certain places, per the ad: “Remote (EMEA/East Coast) / United Kingdom”

What they ask for

  • Have the right to work in Spain

    Poolside doesn't mention sponsorship, but this role may fit the Digital nomad visa.

  • Work in English

    English is required, per the ad.

This job was published 5 months ago

About the job

Design and implement the infrastructure and tooling used by poolside researchers and engineers.

What you'll do

To ensure our progress leads to meaningful improvements to our users.

  • Research and implementation of evaluations and benchmarks; both for base models and for instruction following models

  • Collaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skills

  • Work in a team: plan future steps, discuss, and communicate clearly with your peers

What you'll get

  • 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

About the company & 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 POOLSIDE

In 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.

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SKILLS & EXPERIENCE

  • Experience with Large Language Models (LLM)

    • Strong understanding and intuition of LLMs, and their limitations

  • Good taste, and a curious mindset

  • Strong engineering background

    • Strong programming skills, ideally across multiple languages

    • Familiar with full software development life cycle

  • Programming experience

    • Linux

    • Strong algorithmic skills

    • Multiple languages, including Python

    • Use modern tools and are always looking to improve

    • Strong critical thinking and ability to question code quality policies when applicable

PROCESS

  • Intro call with one of our Founding Engineers

  • Technical Interview(s) with one of our Founding Engineers

  • Team fit call with the People team

  • Final interview with one of our Founding Engineers

How they hire

4 steps4 interviews
  1. Intro call

    With a founding engineer, team lead or team member

  2. Technical interviews or working session

    Technical interview(s) for engineering roles; a working session with the team plus cross-functional interviews for other roles.

  3. Team fit call

    With People team

  4. Final interview

    With a founding engineer, or a co-founder for lead roles

WhatsApp
OnHires
OnHires
1w ago

Technical Lead, Machine Learning

Remote Europe / European Union / Singapore / Singapor, Singapore, Singapore / Philippines / Indonesia / Thailand / Europe (remote) / Remote (Europe), Europe, European Union

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