Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building intelligent search, recommendation, and extraction systems powered by LLMs, embeddings, and vector databases with an accent on scaling retrieval and production deployment. Focus on designing agentic AI workflows, fine-tuning LLMs, and combining ML research with real-world reliability.

Hybrid – San Mateo, CA, United States

$180K–$240K + Equity

Company

Fast-growing AI startup transforming a massive, traditional industry using cutting-edge machine learning.

What you will do

• Build advanced search, ranking, and recommendation systems
• Develop NLP and document extraction pipelines from unstructured data
• Fine-tune and deploy LLMs into production environments
• Design retrieval architectures using embeddings and vector databases
• Build agentic AI workflows capable of multi-step reasoning
• Work closely with product and engineering teams to ship AI-powered features end-to-end

Requirements

• Hybrid in San Mateo, CA, United States
• Strong ML engineering or applied AI background
• Experience with NLP, retrieval, search, ranking, or recommendation systems
• Hands-on experience with Python, PyTorch/TensorFlow, and modern ML infrastructure
• Experience deploying scalable ML systems into production

Nice to have

• Vector DBs, LLM fine-tuning, or agentic AI frameworks

Culture & Benefits

• Highly technical, product-focused ML work
• Real ownership and impact from day one
• Strong engineering culture in a fast-moving startup
• Competitive salary, equity, and hybrid flexibility