Machine Learning Research Scientist | Engineer - Special Projects

We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, algorithms, decision making/planning, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values: Passion for the mission: We’re here to make something extraordinary. We seek whatever work is right and strive for the best possible results. Results oriented and scientific honesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. Focus: Time constraints and big goals encourage us to sharpen our focus and learn to make optimal decisions balancing strategic and tactical goals. Develop, train, and optimize adaptive ML algorithms that anticipate user needs and adapt to behavior in multi-tenant, conversational only environments. Collaborate with cross-functional partners (hardware, UX, human interaction, physical systems) to invent and prototype features for entirely new form factors, with a variety of sensors, and user experiences. Integrate ML models into multi-sensor, multi-modality product stack. Design tools, analytics, and processes to perform deep, hands-on analysis and answer challenging technical questions. Drive innovation from incubation to deployment, ensuring ideas make the leap from research into Apple products. Iterate quickly based on feedback, technical constraints, and functional requirements. Master's, or PhD in Computer Science, Electrical Engineering, Statistics, or a related field. Solid knowledge of Machine Learning methods and algorithms, statistical analysis, reinforcement learning, and computer science algorithms. Strong programming skills in C++, Python. Solid knowledge in deep learning frameworks such as PyTorch and TensorFlow. Strong software engineering skills, delivering clean and well-tested code. Strong problem-solving skills and ability to iterate quickly based on user feedback and technical constraints. Excellent communication and collaboration skills, with ability to work independently or in small teams. Ph.D. in Computer Science or related field. Recognized expertise in machine learning, automated planning, and decision theory. Experience in out of distribution detection and diagnosis, automated planning and uncertainty estimation. Proven experience with Generative AI and Large Language Models (prompt engineering, fine- tuning, etc.). Prior experience building consumer-facing products is highly valued.

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