Primer is looking to enhance its tooling, coding standards, and codebase to better support its natural language processing and machine learning technology.
Requirements
- Experience with data ingestion, processing and data retrieval systems at scale
- Experience with containerization and orchestration technologies (Kubernetes), configuration management (Terraform, Pulumi), deployment automation (Github Actions)
- Expertise in Python and Golang
- Expertise in Flask, ElasticSearch, PostgreSQL, Redis
- Experience with real-time and distributed systems
- Experience with Kafka and Graph DBs
Responsibilities
- Architect and extend scalable ingest pipelines and data stores to ingest, analyze, and understand large volumes of data
- Design, package, and optimize the Delta product for deployment in diverse environments
- Collaborate with teams on the Delta product to design an information retrieval architecture
- Work with machine learning engineers and data scientists to extend the platform's capabilities to new models and algorithms
- 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
Other
- 5+ years of shipping production grade software
- Leading commercial software technical projects end-to-end in an agile environment
- Work experience in NLP/AI/ML focused companies
- US citizenship or ability to meet government contract requirements
- Ability to work in San Francisco, CA or Washington, DC
