Summary

Posted: Mar 24, 2021

Weekly Hours: 40

Role Number:200222131

We are looking for research scientists with a passion for developing and using machine learning to transform se...Summary

Summary

Posted: Mar 24, 2021

Weekly Hours: 40

Role Number:200222131

We are looking for research scientists with a passion for developing and using machine learning to transform sensing data from the most worn wearables and devices into intelligent health experiences. You will join a close-knit team, growing in the NY area, of highly accomplished and deeply technical research scientists and engineers focused on delivering cutting edge machine learning technologies to the health space.

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 to deliver the next generation of Apple health experiences. You will perform fundamental 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.

Key Qualifications

• Expertise in developing new machine learning algorithms and tools
• Demonstrated contributions in one or more of the following fields related to machine learning: fairness, privacy, deep learning, transformers and attention models, architecture search, NLP, optimization, reinforcement learning, and related topics
• Demonstrated, via publications or products, interest 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
• Experience using Python, C/C++, or other programming language for machine learning
• Proficiency developing large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch)

Your responsibilities include:
Researching, developing, and implementing the most innovative machine learning, artificial intelligence, statistics, computer vision, and NLP techniques 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

Education & Experience

PhD in machine learning (CS, ECE, Stats, Math, or related fields)

Additional Requirements

• 2+ years of research experience in academia or industry after the PhD (summer internships could be considered as experiences)
• Publications in the leading machine learning, computer vision, NLP, and health venues.
• Strong fundamentals in problem solving, algorithm design, and model building, including statistical analysis
• Passion for creating new technologies with high product impact
• Excellent verbal and written communication and presentation skills