The Applied Sensing & Health team at Apple is looking to improve user health, fitness, and safety through multimodal sensing and AI models, and is seeking a passionate person to join the team to help ship interactive features that impact millions of users on a daily basis.
Requirements
- Strong background in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.) for applications in health
- Experience applying a scientific approach to machine learning modeling from defining hypotheses, designing experiments, testing, failure analysis, and guiding data collection in user studies
- Strong working knowledge of Python, Spark, or equivalent and running experiments with data at scale
- Hybrid scientist/engineer who can do modeling, data pipelining, and/or on-device implementation
- Experience developing generative AI systems, such as large language models, in an applied setting, including post-training techniques like supervised fine-tuning, adapter training, and reinforcement from human feedback
- Familiarity with privacy-preserving ML techniques is a plus
Responsibilities
- Designing and supporting user study data collections for model development
- Designing and implementing models and algorithms for Health and Fitness use cases, driving end-to-end performance and failure analysis
- Optimizing implementations for power, memory and performance
- Close coordination with multidisciplinary teams across the company
- Working closely with scientists, engineers, QE, and project managers throughout the software lifecycle in successfully delivering best-in-class secure and scalable systems
Other
- MS or PhD in a quantitative modeling and data science discipline such as machine learning, computer science, statistics/biostatistics, health informatics or similar
- Excellent interpersonal skills and communication (written and verbal)
- Experience working with cross-functional and/or interdisciplinary teams
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition
