AIML - ML Research Scientist, Health AI
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers focused on delivering innovative technologies that impact millions of users. We are looking for an applied ML research scientist passionate about solving real-world problems in the health domain that make a difference in our customers' lives.
In this role, you will use your skills and experience in state-of-the-art machine learning and deep learning to design, implement and evaluate new machine learning models and algorithms to solve complex and challenging problems involving multimodal data and unique objectives. You will have the opportunity to explore and develop novel generative AI technologies and investigate and explore foundation models. The ability to substantially improve model performance from a prototype by leveraging novel architectures, optimizing hyper-parameters or exploring data augmentation techniques is key.
- Strong background in audio/speech signal processing, feature extraction, and data analysis
- Hands-on experience with building novel state-of-the-art machine learning algorithms and expertise on dealing with large datasets, strongly desired
- Background in foundation models (FMs), large language models (LLM), and generative modeling approaches
- Prior experience on multi-modal machine learning, representation learning and on-device modeling capabilities using modern machine learning packages (e.g. PyTorch, TensorFlow)
- Passionate about applying machine learning methods to deliver end-user experiences in health/wellness space
- Strong publication record in the field of speech/audio signal processing, Machine Learning or AI is highly desirable, indicating an ability to not only understand but also contribute to cutting-edge research
- Experience with building multi-modal information retrieval systems, prototyping, and deployment
- Excellent interpersonal and communication skills and a strong team player
- Ph.D. in Electrical/Computer Engineering, Computer Science, Machine Learning, or related fields or an equivalent qualification obtained through other avenues
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.