Research Scientist - Computer Vision/Machine Learning

Seattle, Washington, United States
Software and Services


Posted: Feb 20, 2019
Weekly Hours: 40
Role Number: 200020564
We are looking for research scientists with a passion for using computer vision and machine learning to transform intelligent user experiences. We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers on delivering cutting edge technologies that impact millions of users. As a member of this team, you will use your deep understanding of computer vision, machine learning, and artificial intelligence to take on substantial technical problems, and collaborate with the most innovative product development teams in the world. You will perform fundamental research by defining, designing, implementing and evaluating CVML algorithm involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and participating in other academic efforts. You will have the opportunity to chip in to every cool project around Apple, and transfer your ideas into solutions for some of the most meaningful technical problems in the next generation of Apple products.

Key Qualifications

  • 5+ years of research experience in academia or industry, with a solid publication history
  • Expertise in at least one area of computer vision, machine learning, and computer graphics (e.g., deep convolutional neural networks, object detection, tracking, segmentation, AR/VR, image and video processing, 3D geometry, SLAM, multi-view geometry, simulation, graphics rendering)
  • Strong experience in building early stage products
  • A passion for creating innovative techniques, and making them robust and scalable
  • Ability to distill vague product experiences into concrete problem definitions
  • Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience
  • Creative, collaborative, and innovation focused


PREFERRED QUALIFICATIONS: - Good track record of innovation in creating novel computer vision and machine learning algorithms and advancing the state of the art - Proficiency training large scale models using modern machine learning frameworks (e.g. TensorFlow, PyTorch) - 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 Machine learning, Computer Vision, or related field or MS in related field with a strong academic track record 5+ years of research experience in academia or industry, with a solid publication history

Additional Requirements