Machine Learning Engineer Vision Products Software

AI is transforming how people interact with technology and Apple is building the next generation of intelligent privacy-preserving experiences across its platforms. Were looking for a Machine Learning Engineer to help prototype build and ship conversational and generative AI systems that feel deeply human responsive and this role youll work at the intersection of machine learning research and product engineeringrapidly iterating on new ideas translating them into scalable systems and partnering closely with cross-functional teams to bring them to life. Youll contribute to foundational capabilities that power conversational understanding generation personalization and embodied interactions for Apples Vision devices

As a Machine Learning Engineer on our team you will design prototype and deploy ML-driven features that power conversational and generative experiences. Youll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at collaborate closely with researchers product managers designers and platform engineers to align on problem definitions iterate on solutions and ship features that meet Apples standards for reliability privacy and delight. This role balances experimentation with execution: moving quickly when exploring new ideas and rigorously when transitioning work into production.

Design and implement ML models and algorithms for conversational understanding generation and personalizationnRapidly prototype and evaluate new model architectures prompting strategies and fine-tuning approachesnTranslate research ideas into production-ready systems collaborating across teams to ensure smooth integrationnContribute to end-to-end ML pipelines from data exploration and model training to deployment and evaluationnWrite clean maintainable and well-tested code that meets Apples production standardsnParticipate in architecture discussions design reviews and peer code reviewsnHelp shape technical direction and contribute to roadmaps for next-generation AI capabilities.

Phd 3yrs or MS 5yrs relevant experience in related field (AIML CS EE etc.)nStrong experience with deep learning particularly in natural language processing and/or multimodal modelsnHands-on experience with modern generative AI systems and computer vision models including prompt design fine-tuning and evaluationnFamiliarity with ranking retrieval and personalization algorithmsnProficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)nExperience integrating ML models into production systemsnStrong communication skills and the ability to collaborate across disciplinesnCuriosity pragmatism and a product-oriented mindset

Experience with conversational AI systems or interactive ML-driven experiencesnExposure to multimodal or embodied AI systems (voice animation agents or real-time interaction)nFamiliarity with Apple platforms frameworks or ML infrastructurenEvaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products