AIML - Senior Machine Learning Research Scientist, Biosignals Intelligence Group
Location
Cupertino, CA | United States
Job description
The Biosignals Intelligence Group is at the forefront of pioneering novel sensing technologies, machine learning innovation, and building health and human-computer interaction technologies at Apple. We are a fundamental and applied research-focused team with diverse backgrounds focused on creating innovative technologies and experiences for millions of users. We are looking for a research scientist passionate about solving real-world problems in the health/wellness domain that will translate to novel experiences and technologies benefitting our customers.
Key Qualifications
- 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
- 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
Description
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.
Education & Experience
Ph.D. in Electrical/Computer Engineering, Computer Science, Machine Learning, or related fields or an equivalent qualification obtained through other avenues.
Additional Requirements
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700.00 and $300,200.00, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: 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. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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.
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.
Ph.D. in Electrical/Computer Engineering, Computer Science, Machine Learning, or related fields or an equivalent qualification obtained through other avenues.
Job tags
Salary
