Staff Machine Learning Engineer
Tasks
- Build hybrid search with vector embeddings and keyword retrieval
- Contribute to technical design discussions
- Define feature scope and implementation strategies
- Deliver AI-powered capabilities
- Enhance search result ranking
- Improve RAG platform
- Integrate rapidly evolving LLM technologies
- Maintain deployed services stability
- Mentor junior team members
- Optimize indexing pipeline speed and cost efficiency
- Provide retrieval platform across multiple channels
- Write clean, maintainable code
Perks/Benefits
- Bonus eligibility
- Professional development opportunities
- Remote work flexibility
- Specialization opportunities in security performance and reliability
Skills/Tech-stack
AWS | Datadog | Docker | Elasticsearch | Kafka | Kubernetes | LLM | Language Processing | Machine Learning | MySQL | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Redis | Ruby | S3 | Sentry | Snowflake | Test frameworks | Vector embeddings
Education
N/A
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