Seeking an automation engineer with expertise in Silicon Validation, robotics control, AIML, and software development to build an intelligent automation system for silicon validation. The role involves integrating software and hardware, controlling robotics with computer vision and ML, and implementing AI/ML models for detection, collision avoidance, and control.

Machine Learning Engineer on the Answers & Knowledge & Information team at Apple, focusing on improving Siri, Spotlight, and Safari search features. This role involves large-scale ML/DL for query understanding and ranking, using word embeddings, deep learning, and online learning on petabytes of data from millions of users. The engineer will design and build infrastructures, perform language and user intent analysis, process web-scale data, and run evaluations.

This role focuses on evaluating, optimizing, and analyzing the performance of ML and multi-modal LLMs. The Data Scientist will develop metrics, conduct failure analysis, process data for evaluation, and implement optimization techniques. They will collaborate with cross-functional teams to integrate models and communicate results. The role requires experience with model evaluation, RAG, and LLM prompt evaluation, with preferred experience in multi-modal foundation models and GenAI frameworks.

Software Engineer to lead the software development of test systems for Apple products, and integrate AI/ML into daily workflows. This role involves designing and developing AI/ML solutions to improve workflows, team efficiency, and product quality, alongside developing and maintaining test libraries and integrating test systems.

This role focuses on designing and optimizing conversational AI experiences for Apple's online store, aiming to enhance customer engagement and satisfaction. The designer will lead the conceptualization and implementation of chatbot conversations, leveraging technologies like RAG and AI QA tools, and ensuring brand voice consistency. The role requires a blend of creativity, strategic thinking, and technical understanding of how AI models retrieve information and generate responses.

This role focuses on driving manufacturing research and development for iPhone final assembly line automation, integrating AI/ML and smart manufacturing technologies. The engineer will lead automation projects, leverage AI/ML and LLMs to optimize processes, and develop data-driven methods. Responsibilities include spearheading AI/ML adoption, leading core engineering projects, developing intelligent testing methods, conducting advanced data analysis, and mentoring teams on AI-augmented manufacturing.

The Senior Product Manager will define and deliver AI-powered solutions for live streaming moderation and VOC analytics, owning the product lifecycle and driving execution for AI systems that protect brand integrity and transform customer feedback into actionable business intelligence. This role requires a strong technical understanding of AI, familiarity with APAC social commerce, and the ability to translate business problems into product requirements, working with engineering teams to ship products that balance automation with human oversight.

This role focuses on developing and implementing next-generation automated processes for cosmetic and protective finishes (PVD coatings, Ink Printing) in high-volume manufacturing. It involves both physical automation (robotics, PLCs) and digital automation, including machine vision and deploying ML/AI models for predictive maintenance, defect detection, and process optimization. The role requires integrating automation parameters with materials chemistry and collaborating with cross-functional teams.

This role focuses on building and shipping the ML platform and tools that enable product teams across Apple to develop and deploy machine learning solutions. The engineer will be responsible for the infrastructure, tools, and developing ML solutions, with a strong emphasis on scalability, reliability, and ease of use.

Manager for a Machine Learning Engineering team focused on manufacturing applications at Apple. The role involves leading a team of ML and MLOps engineers to build, deploy, and scale AI-driven systems for the product lifecycle, from prototype to announcement. Requires technical expertise in AI, leadership skills, and experience with MLOps, Computer Vision, and scaling ML systems.

Software Engineer role focused on developing and delivering AI/ML solutions for Apple's hardware product line, including agentic systems and RAG architectures, with responsibilities spanning training, evaluation, and inference pipelines.

Internship role focused on software engineering and natural language processing within the Siri & Information Intelligence team at Apple. The intern will collaborate with experts, receive mentorship, and work on developing technologies and experiences for the next generation of Siri products.