The Biosignals Intelligence Group at Apple is looking to solve real-world problems in the health/wellness domain by creating innovative technologies and experiences for millions of users.
Requirements
- Strong background in audio/speech signal processing, feature extraction, and analyses
- Hands-on experience with building novel state-of-the-art machine learning algorithms and expertise on dealing with large datasets
- 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)
- Experience with building multi-modal information retrieval systems, prototyping, and deployment
- Strong publication record in the field of speech/audio signal processing, Machine Learning or AI
- Ph.D. in Electrical/Computer Engineering, Computer Science, Machine Learning, or related fields or an equivalent qualification obtained through other avenues
Responsibilities
- Strong background in audio/speech signal processing, feature extraction, and analyses
- 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
- Experience with building multi-modal information retrieval systems, prototyping, and deployment
- Design, implement and evaluate new machine learning models and algorithms to solve complex and challenging problems involving multimodal data and unique objectives
Other
- Ph.D. in Electrical/Computer Engineering, Computer Science, Machine Learning, or related fields or an equivalent qualification obtained through other avenues
- Excellent interpersonal and communication skills and a strong team player
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
- Discretionary bonuses or commission payments as well as relocation
