Member of Engineering - Search
Yesterday
AWS
Azure
Distributed Systems
Docker
Google Cloud Platform
Grafana
Kafka
Kubernetes
Prometheus
Python
Terraform
Go
Description
• In this decade, the world will create artificial intelligence that reaches human level intelligence (and beyond) by combining learning and search. • poolside exists to be one of these companies - to build a world where AI will drive the majority of economically valuable work and scientific progress. • We believe that software development will be the first major capability in neural networks that reaches human-level intelligence because it's the domain where we can combine Search and Learning approaches the best. • At poolside we believe our applied research needs to culminate in products that are put in the hands of people. • You would be working as part of our Applied Research team, focused on building our search and retrieval systems that expand the knowledge base of our models. • Your mission: To build a highly performant and accurate search and retrieval system.
Requirements
• Strong programming skills in either Go, C, C++ or Python (we are open to polyglot engineers from other languages) • Strong experience in database and storage systems • Solid grasp of LLM fundamentals: How they work, what they are trained on • Comfortable with distributed systems • Data pipelines, distributed processing, fault tolerance, performance optimization • Message queues, event-driven architectures, e.g. Kafka, Google pub/sub • Clouds: managed services, storage. GCP, AWS, Azure • Engineering experience • DevOps: Git, Docker, k8s, Terraform, baremetal • Monitoring and alerting (Grafana, Prometheus, Datadog) • Strong algorithmic skills • Use modern tools and are always looking to improve
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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