Staff Machine Learning Engineer
Core
Lead applied research in efficient generative AI (LLMs, multi-modal, text-to-image) and transition cutting-edge models into real-world applications on edge devices.
Role type
Staff Machine Learning Engineer (Applied Research & Deployment)
Builds
Production-ready efficient AI models for edge devices
Domain
Generative AI, Edge AI, Model Optimization
Deliverable
production ML models
Required skills
Generative AI, LLMs, multi-modal models, diffusion models, model quantization, model distillation, efficient architectures, on-device deployment, model training pipelines, evaluation
Preferred skills
PhD in CS/EE, publications in top-tier AI/ML conferences, expertise in PTQ/QAT/speculative decoding, ONNX/IR graphs
Technologies
LLMs, VLMs, Diffusion models, ONNX
Responsibilities
Conduct original applied research in efficient generative AI, provide technical leadership and guide research directions, mentor Engineering AI Residents, lead transition of research to production solutions, contribute to strategic initiatives in efficient AI, publish in top-tier conferences
Seniority
Staff, research leadership & mentorship
