Senior Data Engineer

Apple
Apple

Job Overview

Key Qualifications

  • Solid mathematical foundation in statistics and algebra
  • Profound knowledge in machine learning and deep learning techniques
  • Experience in building datasets for computer vision tasks
  • Strong coding skills in python
  • Experience in working with and creating data structures and pipelines.
  • Experience in visualizing data to partners
  • Creativity and curiosity for solving highly sophisticated problems
  • Excellent communication and collaboration skills
  • Description

    Are you passionate about building AI/ML products with focus on Augmented Reality (AR) and Virtual Reality (VR) applications? Are you passionate about solving hard problems? Video Computer Vision org at Apple is looking for Senior Data Scientist to join the team of highly accomplished and deeply technical scientist. You will design and implement new machine learning algorithms while collaborating with the most innovative product development teams at Apple. We provide the right balance between research and product to deliver Apple quality state of the art experiences on various apple devices. You will have the opportunity to touch the life of millions of people through amazing products. Our team researches new machine learning algorithm and techniques and has a track record of shipping some of the most impactful CVML products ever shipped by Apple. Examples include FaceID, Animoji/Memoji, Scene Understanding, People Understanding and Positional Tracking (VIO/SLAM). We want new results-oriented team members to join our research ML group. In this role, we create new models and algorithms, and actively engage with the academic community. You will also have the opportunity to give to impactful projects at Apple, and use your machine learning and computer vision skills to transfer your ideas into solutions for some of the most complicated technical problems in the next generation of products that will delight millions of people. Your key responsibilities will be but not limited to: Analyzing performances of complex 3D computer vision systems in real-world applications.Developing end-to-end pipeline and metrics for fast system evaluation.Understanding data and model biases.Designing data collection protocols.Collaborating with multiple algorithm teams to understand and analyze algorithm issues.

    Education & Experience

    MS with 3+ years proven experience or PhD in computer science, statistics or related fields with a focus on machine learning and computer vision

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