Member of Engineering (Data & Analytics)

🌐 Remote💼 Full-time🗓 2026-07-27 → 2026-09-26

Core

Build data and analytics systems (agent trajectory store, experiment registry, metrics) for the Model Factory to accelerate AI model research and training efficiency.

Role type

Senior IC data infrastructure engineer (ML research support)

Builds

Data pipelines, experiment tracking systems, and analytics platforms for model training

Domain

Artificial Intelligence / Machine Learning Research Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Go, Python, distributed systems, Kubernetes, cloud infrastructure, observability, data lifecycle management

Preferred skills

OLAP databases, timeseries databases, high cardinality datasets, ML research workflows

Responsibilities

Design and operate data/analytics systems for the Model Factory; own the full data lifecycle of experiment data; partner with researchers to align systems with their workflows

Seniority

Senior, hands-on IC

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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