Senior Machine Learning Engineer (LLMs)

We're building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language models that automate real workflows and move real revenue.

- Own end-to-end LLM systems: architecture, training, evals, and iteration - Fine-tune and extend existing models (LoRA, instruction tuning, RLHF) - Build and maintain data pipelines from product databases, documents, APIs, and logs - Ship reliable, monitored, production models with clear guardrails - Collaborate closely with product and engineering to turn messy real-world problems into working systems - Build and coordinate the AI engineering team - Use Claude Code as a core tool for development, refactors, tests, and experiments

- "How does this actually work under the hood?" is your default question - You're fine sitting with a hard problem for days and reading papers on weekends to figure it out - If there's something interesting to learn or solve, it doesn't matter if it's Saturday or 1 a.m., you're in - You build side projects nobody asked for and write cleaner code than anyone requires - You're quietly competitive, self-taught in at least one major skill, and think in systems - You're slightly allergic to meetings without a clear purpose or owner

- 5+ years of real world experience in ML / AI engineering - Proven experience training or substantially contributing to training LLMs (not just calling APIs) - Deep understanding of transformers, attention, and training dynamics - Strong Python plus PyTorch or JAX - Experience with large-scale data pipelines and experiment tracking - Hands-on fine-tuning (LoRA, instruction / SFT, RLHF or similar) - Comfortable using Claude Code as part of your daily workflow - Able to explain complex systems simply to non-technical stakeholders and go deep with experts - Track record of owning projects end-to-end and mentoring other engineers

- Distributed training (FSDP, DeepSpeed, Megatron, etc.) - Inference optimization (quantization, speculative decoding, vLLM, Triton) - Experience shipping LLM features in production SaaS - Open-source contributions or published work or patents in ML / NLP - Microsoft Foundry experience

- Competitive salary (based on experience and location) - Generous PTO - Medical, dental, and vision coverage - 401(k) plan - High ownership and autonomy over your work - Direct collaboration with a small team of smart, kind, motivated engineers - An environment that values deep work, clear thinking, and real impact - Regular team events and off-sites - Equipment and learning budget to help you do your best work and keep up with the frontier