March 15
🏢 In-office - San Francisco
• Architect and extend scalable ingest pipelines and data stores to ingest, analyze, and understand large volumes of data • Collaborate with teams on the Delta product to design an information retrieval architecture to analyze and conduct search on documents and graphs • Work with machine learning engineers and data scientists to extend the platform’s capabilities to new models and algorithms while maintaining performance metrics • Work on massive datasets, integrating with features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP and knowledge base generation
• Experience leading commercial software technical projects end-to-end in an agile environment on any major cloud provider (AWS, GCP, Azure, etc) • Experience with data ingestion, processing and data retrieval systems at scale • Experience with working with real-time and distributed systems • 5+ years of shipping production grade software • Expertise in Python and Golang • Expertise in Flask, ElasticSearch, PostgreSQL, Redis, and Kubernetes • Data-driven engineering; using metrics to drive decisions and inform performance and cost tradeoffs • Hands-on DevOps experience with cloud infrastructure • Experience with Kafka and Graph DBs • Work experience in NLP/AI/ML focused companies
• Competitive compensation and comprehensive benefits • Full medical, dental, and vision coverage • Fertility benefits through Carrot • Mental health coverage on demand with Ginger • 401(k) (US employees) • Remote work stipends • Monthly internet allowance • Unlimited vacation policy • Wellness Days • 100% paid leave for parents of growing families
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