Machine Learning Engineer, Natural Language Understanding, Proactive

Apples On-Device Query Understanding team is building the next generation of personalized intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful large-scale challenges where your work will directly shape how millions of people interact with Apple products every day.

The On-Device Query Understanding team builds personalized state-of-the-art query understanding models that power search intelligence across Spotlight and first-party apps like Mail Photos and Reminders. You will drive scalable evaluations and modeling improvements that directly impact millions of Apple users while contributing to the broader machine learning this role you will bring together research and engineering excellence to advance how Apple understands what people are looking for and why.

Research design implement and evaluate models to advance personalized query understanding user intent resolution retrieval and rankingnApply natural language processing deep learning and large language model techniques to deliver grounded contextually relevant responsesnAnalyze performance gaps in current search and assistant systems and develop algorithms and techniques to improve model quality and key product outcomesnDefine long-term technical vision propose roadmaps and set measurable objectives for the teamnCollaborate with cross-functional partners to define product requirements establish evaluation metrics and maximize user satisfaction

4 or more years of experience in machine learning natural language processing or computer vision applied at scalenSoftware engineering experience with Python Go or C/CnCommunication and collaboration skillsnBachelors degree in Computer Science Computer Engineering Statistics Physics Mathematics or a related field

Advanced degree (Masters or Ph.D.) in Computer Science Statistics or a related field or equivalent industry experiencenExperience in large-scale query understanding search recommendation or personal assistant systemsnProficiency with machine learning frameworks such as PyTorch JAX TensorFlow or XGBoostnBackground in personalization and data-driven decision making with the ability to prototype solutions and conduct critical analysisnExperience with Swift or iOS development