Research Scientist - Machine Learning

Seattle, Washington, United States
Software and Services

Summary

Posted: Jan 15, 2019
Weekly Hours: 40
Role Number: 200026703
We are looking for research scientists with a passion for using machine learning to transform in-the-wild sensing data from the most worn wearables into intelligent health experiences. You will join a close-knit team 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 tackle meaningful 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 unrivaled data and objectives. 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. YOUR RESPONSIBILITIES INCLUDE: - Researching, developing, and implementing the most innovative machine learning, artificial intelligence, statistics, computer vision, and NLP techniques applied to one of a kind 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

Key Qualifications

  • 2-5 years of research experience in academia or industry
  • Expertise in at least one area of machine learning, artificial intelligence, or statistics (e.g., health, time series, causal inference, probabilistic modeling, reinforcement learning, optimization, NLP)
  • Strong interest in applying machine learning methods to health related problems and data
  • Ability to distill vague product experiences into concrete problem definitions
  • A passion for making methods robust and scalable
  • Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience
  • Experience using Python, R, C/C++, or other programming language for machine learning

Description

PREFERRED QUALIFICATIONS: - 5+ years of research experience in academia or industry - Proven track record of innovation in creating novel machine learning algorithms and advancing the state of the art, especially in the health domain - Proficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, autograd), and experience with data analysis stacks (such as numpy, scipy, pandas, etc.) - Strong fundamentals in problem solving, algorithm design, and model building - Passion for creating new technologies with high product impact - Excellent verbal and written communication and presentation skills

Education & Experience

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

Additional Requirements