poolside
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.
Member of Engineering – Evaluations, Engineering
Job not on LinkedIn
🕒 April 20
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poolside
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
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