Job Description
COMPANY:
Our client uses machine learning and natural language processing to automate the analysis of very large corpora of unstructured text. We build systems that read documents, extract insights, and write reports comparable to those of a human analyst. Our objective is to help our customers understand the world around them from geopolitical events and scientific research to changes in the risk profiles of companies. Our clients include some of the worlds largest corporations, financial institutions, and government agencies.
FROM YOUR FIRST DAY, YOULL DRIVE THE TECHNICAL IMPLEMENTATION OF A MAJOR FEATURE. YOU MIGHT...
- ...design and build horizontally scalable microservices to ingest, analyze, and understand documents
- ...design an information retrieval architecture combining document, graph, and entity search
- ...develop APIs that showcase our technology stack and enable third-party integrations
- ...contribute to the back-end and front-end of immersive user experiences that render complex data in a comprehensible wayEvaluate, adopt, and contribute back to open-source software to build out the technology stack
- ...Evaluate, adopt, and contribute back to open-source software to build out the technology stack
EXPERIENCES WE LIKE:
- Expertise in Python, GoLang, or Java
- 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 and processing systems at scale - online, streaming, or batch
- 4+ years of shipping commercial software (SaaS, or PaaS) to third parties outside your company (At least two major release cycles, including learnings from bugs you and the team have had to fix).
BONUS POINTS:
- Data-driven engineering; using metrics to drive decisions and inform performance/cost tradeoffs
- Hands-on DevOps experience with cloud infrastructure
- Experience with ElasticSearch, Redis, Postgres, and Graph DBs
- Foreign language proficiency / fluency
WHAT WE OFFER: