Research Engineer

AI Research Engineer (On-Device ML Focus) | Bay Area | Stealth Startup We are working with a well-funded, early-stage AI company building something genuinely different at the intersection of agent systems + on-device intelligence. They’re tackling a very real problem - replacing manual IT workflows (tickets, logs, reactive support) with an AI-native system that can detect, diagnose, and resolve issues autonomously on every device. What makes this role interesting This is not just another LLM/backend role. A big part of the challenge is building lightweight ML systems that run directly on-device (Windows, Mac, Linux), under real-world constraints: Limited compute + memory Real-time inference requirements High-volume telemetry / behavioural signals Need for reliability in production (not sandbox experiments) You’ll be working across Backend reasoning systems (LLMs, agents, workflows) What they’re looking for Strong preference for engineers/researchers who have: Hands‑on experience with on-device / edge ML Built or deployed models in constrained environments (CPU, mobile, embedded, etc.) Worked on real‑world systems, not just research prototypes Comfort operating in 0 to 1 environments with high ownership Nice to have Agent systems / LLM-based workflows Why this team Led by a serial founder with multiple successful exits Very small team – high ownership + real impact #J-18808-Ljbffr Harrison Clarke