What we're looking for:

• Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems
• Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory
• Deep understanding of agent evaluation techniques (reliability, safety, success metrics)
• Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.)
• Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability
• Comfort operating in a fast-paced startup: shipping quickly, making tradeoffs, and thriving in ambiguity

Nice to have:

• Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data)
• A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches)
• Published research or open-source contributions in ML/AI

Location & Sponsorship

• Location: San Francisco Bay Area, CA (in-person)
• Visa Sponsorship: H1-B, O1