Senior Machine Learning Engineer, Proactive

At Apple machine learning powers experiences that anticipate what people need before they ask. Were looking for a Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent context and personal information while preserving this role youll design train optimize and deploy large language models semantic retrieval systems and ranking models that power relevant personalized context-aware search across Apples ecosystem. Youll work at the intersection of search retrieval natural language processing on-device AI and generative AI to shape the future of intelligent assistants and proactive experiences..

Youll design train fine-tune and optimize transformer-based language models for on-device deployment and build semantic retrieval embedding reranking and retrieval-augmented generation systems that improve search quality and AI-powered experiences. Youll develop models for query understanding intent prediction personalization and ranking while researching new approaches to model compression quantization and low-latency inference. Youll partner with engineers researchers product managers and designers to bring new AI capabilities from research into production driving technical strategy and leading projects from early exploration through large-scale deployment. This is an opportunity to explore new applications of foundation models multimodal AI and agentic retrieval shaping the next generation of proactive intelligent user experiences.

Design train fine-tune and optimize transformer-based language models for efficient on-device semantic retrieval embedding reranking and retrieval-augmented generation systems along with models for query understanding intent prediction personalization and and prototype approaches for on-device generative AI including model compression quantization knowledge distillation and low-latency search relevance and user behavior to design evaluation methodologies offline benchmarks and online metrics that measure retrieval quality ranking and language model with engineers researchers product managers and designers to bring AI capabilities from research into production driving technical strategy across projects and exploring new applications of foundation models multimodal AI and agentic retrieval.

Bachelors degree in Computer Science Machine Learning Artificial Intelligence or a related field.n5 years of industry or research experience developing machine learning in machine learning deep learning natural language processing information retrieval search recommender systems or generative training fine-tuning or deploying transformer-based models and large language skills in Python and/or C/C with experience building production-quality software using modern machine learning frameworks such as PyTorch JAX or TensorFlow.

Masters or Ph.D. in Computer Science Machine Learning Artificial Intelligence or a related optimizing machine learning models for resource-constrained environments including model compression quantization pruning and knowledge with on-device machine learning or mobile inference building retrieval-augmented generation vector search embedding retrieval or semantic search working with transformer architectures such as BERT T5 Llama Gemma Mistral or other foundation evaluating language models designing AI quality metrics and building offline evaluation building large-scale production search recommendation or personalization to prototype ideas solve ambiguous problems and deliver production-quality machine learning solutions.