ML/AI Engineer

Build, evaluate, and deploy ML/LLM-powered features into production

• Design prompting, retrieval (RAG), fine-tuning, and evaluation pipelines

• Build eval frameworks and metrics to measure model quality, latency, and cost

• Own model serving, monitoring, and iteration in production

3+ years building and shipping ML systems in production

• Strong Python plus experience with PyTorch, JAX, or similar

• Hands-on experience with LLMs: APIs, open-weight models, embeddings, fine-tuning

• Solid software engineering fundamentals (testing, versioning, APIs)

• Able to frame ambiguous problems as measurable experiments

Nice-to-haves

• Experience with agents, tool use, or multimodal models

• GPU/inference optimization (vLLM, quantization, batching)

• Publications or open-source contributions in ML

Base salary range: $175,000 - $225,000 per year; final offer depends on experience and location within the range.

Equity: negotiable, offered in addition to base salary.

Bonus: none.

Benefits:

• Medical, dental, and vision insurance

• 401(k) retirement plan

• Paid time off and paid company holidays

• Home-office / equipment stipend for remote work

• Paid sick leave, paid family and medical leave, and other state-required benefits, as provided under the laws of the employee’s state of residence (e.g., Colorado Healthy Families and Workplaces Act / FAMLI, Washington Paid Sick Leave / Paid Family & Medical Leave, California and New York paid sick leave and paid family leave), * 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance