poolside
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
Job not on LinkedIn
August 20
poolside
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.
đ Description
⢠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.
đŻ 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
đď¸ 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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