Member of Engineering (Experiment Platform)

Member of Engineering (Experiment Platform)

Full-Time 60000 - 98000 £ / year (est.) Working from home possible
P

At a Glance

  • Tasks: Build a scalable Experiment Platform that connects research systems and enhances model development.
  • Company: Join Poolside, a pioneering company at the forefront of AI innovation.
  • Benefits: Enjoy fully remote work, flexible hours, 37 days of vacation, and health insurance.
  • Other info: Be part of a diverse, inclusive team with excellent career growth opportunities.
  • Why this job: Shape the future of AI by building tools that empower developers worldwide.
  • Qualifications: Experience in building production APIs and strong backend engineering skills required.

The predicted salary is between 60000 - 98000 £ per year.

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 and 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.

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 sit at the intersection of Poolside's research, infrastructure, and agent teams, building a greenfield platform that democratises how every frontier model gets built. The Experiment Platform team owns the API gateway and the research services behind research velocity and experiment lineage. In a given week, you might design the data models and API contracts behind experiment intent, ship the CLI researchers use daily, or connect the platform to training and eval pipelines. If you want to own a foundational platform, work alongside the people building frontier models, and help shape where research infrastructure goes next, this is the role for you.

YOUR MISSION

To build a reliable, scalable Experiment Platform that ties Poolside's research systems together, and improves how every model gets built.

RESPONSIBILITIES

  • Design and build robust backend services primarily using Python and Go to power our API Gateway and Experiment Platform.
  • Partner closely with researchers, infrastructure teams, and agent platform engineers to translate research workflows into intuitive APIs, data models, and developer experiences.
  • Drive adoption of agent-native research workflows by delivering the Experiment CLI.
  • Integrate with existing research infrastructure and build dashboards to track adoption and usage metrics.

SKILLS & EXPERIENCE

  • Proven experience building production APIs, distributed systems, or platform infrastructure.
  • Strong engineering fundamentals across backend architecture, API and database design, and operational excellence.
  • Demonstrated ability to lead ambiguous, cross-functional initiatives, aligning stakeholders around a shared technical vision.
  • Nice to have: Understanding of ML research workflows, including experiments, training runs, evaluations, checkpoints, configurations, datasets, and research iteration cycles.

PROCESS

  • Intro call with one of our Members of Engineering
  • Technical Interview(s) with one of our Members of Engineering
  • Team fit call with the People team
  • Final interview with one of our Founding Engineers

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

Member of Engineering (Experiment Platform) employer: poolside

At Poolside, we are committed to fostering a dynamic and inclusive work environment that empowers our team members to thrive. With fully remote work options, generous vacation policies, and a strong focus on employee well-being, we ensure that our engineers can balance their professional ambitions with personal growth. Our unique culture, characterised by low ego and kindness, combined with regular team gatherings in vibrant locations like Paris, makes Poolside an exceptional place for those looking to make a meaningful impact in the world of AI and software development.

P

Contact Details:

poolside Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Member of Engineering (Experiment Platform)

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at poolside or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to poolside.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like poolside.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like poolside that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Member of Engineering (Experiment Platform)

Python
Go
API Development
Backend Architecture
Distributed Systems
Database Design
Operational Excellence

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at poolside.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at poolside and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at poolside

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If poolside uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.