Implement semantic retrieval patterns, including embeddings, similarity search, metadata filtering, and reranking
Define and run retrieval evaluation: gold sets, offline metrics, slice analysis, drift detection, and regression gates
Partner with platform engineers on CI/CD, service templates, monitoring, and incident readiness while owning retrieval correctness and evolution
Requirements
6+ years of experience building and shipping production ML or applied AI systems
Proven experience owning a retrieval system in production, including vector store selection and operation
Strong Python engineering skills and experience building services/APIs (for example, FastAPI or similar)
Hands-on experience with embeddings, approximate nearest neighbor search concepts, and retrieval or ranking systems
Experience designing indexing and refresh strategies, including data quality controls and safe backfills
Strong judgment on tradeoffs across relevance, latency, cost, and operational complexity
Strong communication skills and ability to collaborate across engineering, product, and research teams
Tech Stack
Python
Benefits
Competitive compensation, plus all full-time employees participate in our ownership program
because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection