ashby
Machine Learning Engineer
Onyx
San Francisco, USA
Full-time
Mid · 3+ years experience
Onsite
USD 150000-250000 yearly / year
Discovered 1 weeks ago
PythonPyTorchTensorFlowNLPLLMsRAG
Free
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PythonPyTorchTensorFlow
Role Overview
Onyx is the knowledge layer on top of LLMs. Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved problems like multi-hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San Francisco, CA.
You’ll be:
Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.
Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
Own the approach from inception to validation to production code
Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy
Key Skills for This Role
PythonPyTorchTensorFlowNLPLLMsRAG
Full Job Posting
💥 Your impact
Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.
💡 About the role
Onyx is the knowledge layer on top of LLMs. Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved problems like multi-hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San Francisco, CA.
You’ll be:
Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
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