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# Machine Learning Engineer

- **Company:** ONYX, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Relational Databases, Graph Database, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, OnyX for Mac, Open Source Technology, Tensorflow, Next.js, Software Engineering, TypeScript, Web Application Frameworks, Pytorch, ReactJS, Retrieval-Augmented Generation, Large Language Models, Backend, Slack, Production Code
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-san-francisco-ca--83a38859-40b1-4c2b-83ea-380c2e304ae1

## About the Role

Machine Learning, Slack, Open Source, Information Retrieval, Quality Assurance, Natural Language Processing (NLP), Algorithms, Artificial Intelligence (AI), Software Engineering, Relational Databases (RDBMS), * Have 3+ years of AI/ML engineering experience building real-world applications

 * have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms
 * Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
 * Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs
 * Excellent communication skills and ability to collaborate with full stack roles

Bonus points

 * Familiar with the full stack Typescript/React/NextJS, Python, Postgres
 * Interested in writing technical blogs to establish Onyx is leader in the space

## Description

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