Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Description
You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research. In this role, you will have the opportunity to define and drive a research agenda at the intersection of machine learning and graphics, with a focus on generative modeling for 3D/4D content, video, audio, and simulation. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Minimum Qualifications
Demonstrated expertise in machine learning and generative modeling research
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.)
Strong hands-on experience working with Python and deep learning toolkits such as PyTorch
Experience with C++, CUDA, and graphics or rendering simulation environments is a strong plus
Strong mathematical skills in linear algebra and statistics
Preferred Qualifications
Ability to formulate a research problem and design, experiment, implement, and communicate solutions.
Ability to work in a diverse, collaborative environment.
High-quality open-source contributions to related projects.
PhD or equivalent practical experience in Computer Science or a related technical field.
Strong presentation skills for internal and external communications.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
