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.
Engineering Member – Data & Analytics
Job not on LinkedIn
🔥 0 minutes ago
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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, build, and operate the data and analytics systems of our __Model Factory__ • Own the entire data lifecycle of experiment data including modelling, ingestion, retrieval, query, analysis, and retention • Partner closely with researchers to understand their workflows and ensure we're guided by their data and analytics needs
🎯 Requirements
• Strong programming skills in Go, Python, or other similar languages • Proven experience building and operating distributed systems at scale, with a strong understanding of consistency models, queue/stream processing and data pipelines • Production experience with Kubernetes, cloud infrastructure, observability systems • Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress • Nice to haves: experience working OLAP databases, timeseries databases, high cardinality datasets, understanding of ML research workflows
🏖️ Benefits
• Fully remote work & flexible hours • 37 days/year of vacation & holidays • Health insurance allowance for you & dependents • 16 weeks of flexible, full-pay parental leave • Well-being, always-be-learning & home office allowances • Company-provided equipment • Frequent team get togethers • Diverse & inclusive people-first culture
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