🚀 Machine Learning Research Engineer

📍 San Francisco, CA

💵 $250k – $300k + Equity

About the Company:

We're partnering with a well-funded AI startup in San Francisco that’s building next-gen conversational AI agents for enterprise use. Their technology is already powering support systems at some of the best-known tech companies, and they’ve raised over $100M from top-tier investors to continue scaling. It’s a fast-moving, highly technical team solving complex problems at the frontier of applied AI.

About the Role:

This is a high-impact role for an experienced ML engineer who thrives at the intersection of research and production. You’ll work hands-on with large language models, evaluating, fine-tuning, and deploying them to power autonomous agents that handle nuanced, multi-step conversations. You'll collaborate closely with world-class engineers and product leaders to shape how AI is applied in real-world environments.

What You’ll Be Doing:

• Fine-tuning and evaluating LLMs for instruction-following, dialogue, and support tasks
• Building scalable ML infrastructure to support real-time inference and ongoing model improvements
• Experimenting with techniques like RAG, RLHF, and adapter-based fine-tuning to drive performance
• Shipping production-level ML systems with measurable impact on end users
• Contributing to a high-caliber, research-oriented engineering team

What We’re Looking For:

• 4+ years of experience in AI/ML engineering or research
• Demonstrated success deploying LLMs or related models in production
• Strong backend and infrastructure skills (low-latency systems, inference optimization, etc.) 🔧
• Fast, clean coder with a solid grasp of core ML principles
• Track record of excellence—top schools, top-tier companies, Olympiad background, or equivalent

If you're excited by the idea of building production-grade LLM systems from scratch and want to work with one of the most technically ambitious teams in the space, let’s connect. 🚀