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, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives.
Description
In this role, you will use your skills and experience in ML and deep learning to design, implement, tune and evaluate machine learning models and algorithms to solve ambitious problems involving unique data and objectives including state of the art generative AI models and tools. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to apply novel research at the intersection of Health and ML into customer features.
Minimum Qualifications
- 10+ years of overall software development experience
- 5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets
- Strong background in generative models, natural language processing, and large language models
- Proficiency working with large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax, Huggingface)
- Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production
- MS/Ph.D. in Computer Science, Machine Learning, or related fields or equivalent qualification.
Preferred Qualifications
PhD preferred
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements
Proven track record of contributing to diverse teams in a collaborative environment
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills
Eeo Content
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.
