Job Details

Weekly Hours: 40

Role Number: 200604069-0836

Summary

We are looking for applied scientists with a passion for using AI to transform in-the-wild sensor data from the most worn wearable device into intelligent health & fitness experiences. You will join a close-knit team of deeply technical researchers and engineers focused on delivering groundbreaking machine learning & AI technologies.
As a member of this team, you will use your experience with machine learning and artificial intelligence to tackle important problems to deliver the next generation of Apple health & fitness experiences. You will play a key role in defining, designing, implementing, and evaluating new AI models and algorithms. In this role, you will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide.

Description

Investigating innovative machine learning and artificial intelligence techniques for health data challenges
Designing and implementing machine learning pipelines
Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques
Processing, cleaning, and verifying the integrity of data used for analysis
Validating your findings using an experimental and iterative approach and effectively presenting back your findings

Minimum Qualifications

• Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM)

• Strong interest in applying machine learning to health & fitness related problems and data

• Ability to distill vague product experiences into concrete problem definitions

• Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models.

• 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience

• MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field

Preferred Qualifications

• A drive to learn and master new technologies and techniques

• A passion for making methods robust and scalable

• 5+ years of practical experience building ML & AI models to tackle real-world problems

• Excellent verbal and written communication and presentation skills

• Proficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch), and experience with data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.)

• Strong fundamentals in problem solving, algorithm design, and model building

• Passion for creating new technologies with high product impact

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .