Member of Engineering (Evaluations) - Poolside

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, attract the world's most capable talent, and be on the forefront of applied research, engineering, infrastructure, and deployment at scale.

Poolside exists to be this company — to build a world where AI will be the engine behind economically valuable work and scientific progress.

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

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

• Strong engineering background with experience leading software projects cross-functionally and building highly reliable, well-tested services.
• Experience with distributed systems:
  • Data pipelines, distributed processing
  • Message queues, event-driven architectures (e.g., Kafka, Google Pub/Sub)
  • Cloud managed services and storage (GCP, AWS, Azure)
  • Monitoring and alerting (Grafana, Prometheus, Datadog)
• Plus: Experience designing frameworks or tooling for developers with a product mindset.
• Plus: Experience with MLOps and data visualization platforms.

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