You're perfect for this role if...- You enjoy solving hard problems that have both product and technical ambiguity
- You have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great at
- You dislike meetings and would much rather focus your time on building, being productive, and shipping code
- You thrive when you have autonomy, own as many of the details as possible, and project manage your own work
- You're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all love
Must-have qualifications- Experience with LLM performance tuning, including prompt engineering and context management strategies
- Experience with LLM evaluations and observability
- Experience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)
- Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten
- Familiarity with evaluation dataset engineering, prompt engineering, LLM as a judge verifiers, and RL environments
- 3+ years of experience
Nice to have- Experience with supervised or reinforced fine-tuning
- Experience with classical machine learning techniques such as template matching, bounding box detection, and OCR
- Experience running statistical experiments
Our stackReact, TypeScript, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes
Benefits- Competitive Medical, Vision, Dental insurance
- 401K
- Unlimited PTO
- Offsites and events (French Laundry last quarter)
- Fully stocked kitchen (Unlimited supply of sparkling water!)
SponsorshipWe
can sponsor TN, E-3, or J-1 Visas. We
can't sponsor/transfer H1B Visas or Green Cards (I-140) at this time.
