Member of Engineering – Evaluations, Engineering

Job not on LinkedIn

🕒 April 20

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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poolside

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

poolside is a frontier AI lab and enterprise platform that builds and deploys foundation models, multi-agent systems, and developer-facing tools focused on automating complex software work. The company specializes in on-prem and VPC deployments, security-first integrations, governance, and connectors to enterprise data sources so organizations can run agents and models inside their own boundaries. Poolside embeds research and engineering with customers to deliver outcome ownership, risk controls, and measurable business impact while advancing toward AGI by starting in high-consequence software environments.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ 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