Applied Research Scientist - Machine Learning

Seattle, Washington, United States
Software and Services


Posted: Jan 16, 2019
Weekly Hours: 40
Role Number: 200026727
We are looking for applied 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 researchers and engineers focused on delivering groundbreaking machine learning technologies to the health space. As a member of this team, you will use your practical knowledge and experience with data science, machine learning, and artificial intelligence techniques to tackle important technical problems to deliver the next generation of Apple health experiences. You will play a key role in defining, designing, implementing, and evaluating new machine learning models and algorithms for significant problems involving unusual 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: - Investigating innovative machine learning, artificial intelligence, statistics, computer vision, and NLP techniques for rare health data challenges - Designing and implementing production-ready machine learning pipelines - Co-developing machine learning solutions with data scientists and engineers on product teams across Apple - Providing technical mentorship on transitioning prototypes to high-performance production models

Key Qualifications

  • 2-5 years of practical experience applying ML to solve real-world problems
  • 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 to health related problems and data
  • Ability to distill vague product experiences into concrete problem definitions
  • A passion for making methods robust and scalable
  • Experience using Python, R, C/C++, or other programming language for machine learning


PREFERRED QUALIFICATIONS: - 5+ years of practical experience applying ML to tackle real-world problems, 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

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

Additional Requirements