Senior Applied Scientist - System Intelligence and Machine Learning, ISE
Do you believe generative models can improve how we interact with our devices on a daily basis? Are you passionate about the user experience, and helping to make these improved interactions seamless, easy and enjoyable? Join our team, and be at the forefront of pushing Apple Intelligence towards even greater heights, as we lead the industry in at-the-edge incorporation of generative technologies into everyday user experiences! The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions running at the edge on all Apple platforms (macOS, iOS, tvOS, watchOS), taking full advantage of vertical integration and co-design with Apple Silicon. Examples include image generation for Genmoji and Image Playground as part of Apple Intelligence, face recognition and scene classification in Camera and Photos, along with a host of other focused technologies in OCR, handwriting recognition, and computer vision. The group combines research and development in a dynamic and engaging environment. The successful candidate will join our data science team as a strong individual contributor. There are many exciting challenges and unsolved problems to explore, therefore, you will be an inspiring lead in the data science space with a demonstrable track record.
The successful candidate will join a highly cross-functional team dedicated to product software, back-end infrastructure, and tooling that supports our machine learning initiatives. Our team collaborates with a wide range of internal teams across the company, as well as developers and external partners. This role is focused on the development and deployment of innovative systems and methods for data science and synthesis, while staying current with the latest advancements in these fields. Key responsibilities include: * Developing strategies and algorithms for mining large amounts of data numbering in the billions for the purposes of targeted model training. * Addressing challenges in automatic evaluation of generative results, identification and classification of failure cases, and strategies for assessing their prevalence and severity. * Streamlining human-in-the-loop processes for dataset construction, and creating and implementing systems that execute on strategies to account for subjectivity and human error. * Synthesis of training data as well as synthesis of augmentations to real-world data.
- Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
- Significant professional experience as an Applied Scientist, Data Scientist, or Machine Learning Researcher in the areas of computer vision, language processing or data synthesis.
- Up-to-date with the state of the art in machine learning and generative technologies.
- Strong ability in one or more programming languages, preferably Python.
- Knowledge of and proficiency with industry standard tools and methods for model training, statistical analysis and data science.
- Makes significant hands-on contributions to algorithms and/or implementation.
- Outstanding communication and presentation skills and the ability to explain difficult technical topics to everyone from data scientists to engineers to business partners.
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.
