Machine Learning Engineer, Proactive
Core
Design, train, fine-tune, and optimize large language models and semantic retrieval systems for efficient on-device deployment to power intelligent search and AI experiences.
Role type
Senior IC machine learning engineer (on-device LLMs & search)
Builds
Production ML models, semantic retrieval systems, and on-device generative AI features
Domain
Consumer technology, search, and on-device AI
Deliverable
production ML models
Required skills
Transformer-based model training, LLM fine-tuning, semantic retrieval, model compression, Python, C/C++, PyTorch, JAX, TensorFlow
Preferred skills
Knowledge distillation, edge AI optimization, RAG systems, intent classification, multimodal AI, agentic retrieval
Technologies
PyTorch, JAX, TensorFlow, BERT, T5, Llama, Gemma, Mistral
Responsibilities
Design and optimize transformer-based language models for on-device deployment; Build semantic retrieval, embedding, and reranking systems; Develop LLM fine-tuning and post-training approaches; Research and prototype on-device generative AI techniques; Partner with cross-functional teams to drive AI capabilities from research to production.
Seniority
Senior, hands-on IC
