AI​/ML Developer

Qualifications

• Recommender systems
• Optimization (with experience in discrete optimization)
• Econometrics
• Multimodal time series analysis

Demonstrated interest — via publications or products — in applying machine learning methods to health related problems and data

Ability to distill vague product experiences into concrete problem definitions

A demonstrated passion for making methods robust, fair, private, efficient, and scalable

Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience

Proficiency developing machine learning solutions using Python and its associated ecosystem — numpy, pandas, Tensor Flow, PyTorch, etc

— or other programming language

Provide , upon request during the actual interview process, 3–5 strong recommendation letters supporting the above mentioned key qualifications

PhD in machine learning/data sciences (CS, ECE, Statistics, Operations Research, Math, Economics, or other related fields)

2+ years of research experience in academia or industry after the PhD (summer internships could be considered as experience)

Publications in the leading venues for the candidate’s area of expertise from the ones mentioned under Key Qualifications

Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation

Passion for creating new technologies with high product impact

Excellent verbal and written communication and presentation skills

Having recommendation letters both from Academia and industry

As a member of this team, you will have the opportunity to use your deep understanding of machine learning, artificial intelligence, and data science to solve challenging technical problems and deliver the next generation of Apple health experiences

You will perform applied research by defining, designing, implementing, and evaluating new machine learning models and algorithms to solve challenging problems involving unique data and objectives

In this role, you will collaborate with highly innovative product teams across Apple, and see projects through to deployment on over 1 billion Apple devices worldwide

Your responsibilities include:
Researching, developing, and implementing the most innovative machine learning techniques mentioned under Key Qualifications applied to unique health data and problems

Actively engaging with the academic community by publishing papers and presenting your work

Transferring machine learning solutions to data scientists and engineers on product teams

Providing technical guidance to product teams on the machine learning approaches appropriate for a task