Apple · Sunnyvale

Machine Learning/Neural Rendering Algorithm Engineer

(w/m/d) · 13.1.2025

Description

We are looking for a machine learning engineer who has hands-on expertise and enthusiasm for neural rendering to join us to build next generation gaze tracking for  products. In this role, you will design and develop algorithms for generating domain specific data and work on gaze tracking algorithms towards shipping products. Your responsibilities will include: - Design and implement SOTA algorithms to solve challenging problems - Collaborating with other teams and provide SW/HW requirement for CVML applications - Present your work to leadership and in relevant world-class venues The team works on complex problems in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique development team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.

Qualifications

  • Proficient in Python, good C++ programming background
  • Domain expertise in designing, training and evaluating deep networks and proficiency in deep learning framework such as PyTorch
  • Extensive knowledge and experience in one or more of these areas: Gaussian Splatting,NeRF, 3D reconstruction, Computer Graphics
  • Publication record in relevant venues (e.g. NeurIPS, ICML, CVPR, SIGGRAPH etc) or track record of success in shipping computer vision products
  • BS and 3+ years of experience

Preferred Qualifications

  • Proactive, analytical thinking, excellent problem solving and communication skills
  • Good understanding in 3DCV areas including: camera calibration, multi-view stereo,numerical optimization for CV problems
  • Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, and testing
  • PHD in Computer Vision, Machine Learning, or Computer Graphics

Benefits

Application

View listing at origin and apply!