Senior Machine Learning Engineer, Applied AI Modeling
Core
Building intelligent, privacy-aware browser experiences by embedding modern AI and LLM-driven features directly into Firefox to empower users while safeguarding their autonomy.
Role type
Senior IC machine-learning engineer (applied AI/LLM)
Builds
User-facing AI features and intelligent browser interactions for Firefox
Domain
Consumer internet / Browser technology / Generative AI
Deliverable
product features
Required skills
Large language model (LLM) fine-tuning and evaluation, retrieval-augmented generation (RAG), prompt engineering, embedding-based retrieval, end-to-end model development lifecycle, experimentation and evaluation strategies, user-facing feature design with privacy and latency constraints
Preferred skills
On-device model optimization, privacy-preserving ML, browser context development, web technologies, open-source ML framework contributions
Technologies
Hugging Face, LangChain, Weights & Biases, Ray
Responsibilities
Develop and fine-tune large language models for intelligent browser interactions; Apply RAG, summarization, classification, and intent modeling in real-world workflows; Use modern ML tooling to support end-to-end model development from experimentation to rollout; Collaborate with product and engineering to design and launch features; Design and implement experiments to test model behavior in production; Document work and participate in code reviews
Seniority
Senior, hands-on IC