Poolside
Member of Engineering (Evaluations / Engineering)

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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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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About The Role
Evaluation is one of the most important pillars of building a frontier model and product - it informs the direction of research and development, powers our experimentation and ensures quality and alignment with our users.
To support this, we need a powerful pipeline and self-serve evaluation framework that helps poolsiders build, run and extract insight from evals easily.
In this role, you will design and implement this platform to build and run evaluations at scale.
YOUR MISSION
Build a scalable self-serve evaluation platform to power our research and development
Responsibilities
Design a Python framework that makes it easy for poolsiders to implement both internal and public benchmarks in a centralized way Build and maintain the pipeline that runs distributed evaluations at scale Collaborate with modeling and product teams to identify opportunities to improve our experimentation and evaluation tooling
Skills & Experience


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Strong engineering background Experience leading software projects cross functionally Experience building highly reliable and well tested services Experience with distributed systems Data pipelines, distributed processing Message queues, event-driven architectures, e.g. Kafka, Google pub/sub. Clouds: managed services, storage. GCP, AWS, Azure. Monitoring and alerting: Grafana, Prometheus, Datadog Plus: Experience designing frameworks or tooling for developers A product mindset towards building developer facing software A knack for collaborating with researchers and ML engineers to identify opportunities Plus: Experience with ML ops and data visualization platforms
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
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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