Expoint - all jobs in one place

המקום בו המומחים והחברות הטובות ביותר נפגשים

Limitless High-tech career opportunities - Expoint

Apple Senior Computer Vision Machine Learning Engineer - Apple Pro 
United States, California, Sunnyvale 
857318787

18.11.2024
Description
You’ll be working in a team of computer vision and machine learning researchers and engineers to implement world class algorithms that pushes the state of the art. Your job responsibilities will include:
Minimum Qualifications
  • 4+ years of industry experience in Computer Vision or Machine Learning, or Ph.D./M.Sc. in related field
  • Strong experience in machine learning, preferably in 3D computer vision
  • Solid foundation in 3D geometry and linear algebra
  • Solid experience in deep learning frameworks like PyTorch or TensorFlow
Preferred Qualifications
  • Experience in generative ML is a big plus
  • Good experience in Python and science libraries like Numpy, Pandas, Matplotlib
  • Experience in C++ is a plus
  • Experience in 3D graphics and rendering is a big plus
  • Excellent communication and collaboration skills
  • Excellent problem solving and analytical thinking skills
  • Track record of successfully building and shipping products or open source projects
  • Creativity and curiosity for solving highly complex problems
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.