Job Description
**_Role Overview:_**
We’re looking for a hands-on technical leader to architect, fine-tune, and deploy on-device small language models (SLMs) for consumer security at scale. You’ll lead a focused team of 3–5 senior engineers while remaining deeply involved in the code and technical architecture.
Your core responsibility is building high-performance, privacy-preserving AI models that run directly on user devices (Mac, iOS, Android, Linux). You’ll own model optimization, fine-tuning for tool-use accuracy, evaluation frameworks, and cost-aware deployment strategies. While you won’t own the agent orchestration platform itself, you’ll work closely with it to ensure models behave correctly in multi-turn conversations and make reliable tool-calling decisions.
This role sits at the intersection of edge ML, applied LLMs, and production engineering. Success requires navigating real-world tradeoffs: latency vs. capability, privacy vs. accuracy, on-device vs. cloud execu...
We’re looking for a hands-on technical leader to architect, fine-tune, and deploy on-device small language models (SLMs) for consumer security at scale. You’ll lead a focused team of 3–5 senior engineers while remaining deeply involved in the code and technical architecture.
Your core responsibility is building high-performance, privacy-preserving AI models that run directly on user devices (Mac, iOS, Android, Linux). You’ll own model optimization, fine-tuning for tool-use accuracy, evaluation frameworks, and cost-aware deployment strategies. While you won’t own the agent orchestration platform itself, you’ll work closely with it to ensure models behave correctly in multi-turn conversations and make reliable tool-calling decisions.
This role sits at the intersection of edge ML, applied LLMs, and production engineering. Success requires navigating real-world tradeoffs: latency vs. capability, privacy vs. accuracy, on-device vs. cloud execu...