Machine Learning Engineer

Senior Machine Learning Engineer

📍 Hybrid – San Mateo, CA

💰 $180K–$240K Equity

Why this role

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

This team is building intelligent search, recommendation, and extraction systems powered by LLMs, embeddings, and vector databases - solving complex real-world problems at scale across millions of products and documents.

What you’ll 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

The technical challenges

• Scaling retrieval and recommendation systems across huge datasets
• Combining LLMs, search, embeddings, and structured extraction into production systems
• Building autonomous AI agents with memory and planning capabilities
• Balancing cutting-edge ML research with real-world performance and reliability

What they’re looking for

• 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
• Bonus points for vector DBs, LLM fine-tuning, or agentic AI frameworks

Why join

• 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