Computer Vision and Deep Learning Engineer

We are seeking a dedicated Computer Vision Research Engineer to join our team. The job will focus on developing deep learning models for 3D reconstruction and perception using state-of-the-art deep learning techniques. As a key member of our team, you'll be involved in the entire process of crafting and training these models whose derivatives will be deployed in various Apple products. Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 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. If you'd like more information about your EEO rights as an applicant, please click here. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Description

Model Development: Design, implement, and optimize deep learning models for various tasks in the field of 3D vision Research: Contribute to the development of algorithms and models within the domain of 3D vision Implement and validate models using various data sets Investigate the application of unsupervised data and knowledge distillation techniques to improve the performance of machine learning models Conduct research to explore novel techniques and algorithms Stay updated with recent advancements in the field Design and apply various metrics to evaluate your work Data Analysis: Prepare, filter, process, and analyze large-scale datasets to train and evaluate models Analyze the results of your algorithm and compare with other leading methods Algorithm Optimization: Optimize models for real-time performance and resource efficiency Collaboration: Work in sync with interdisciplinary teams to integrate models into larger products or research studies Collaborate with international teams

Minimum Qualifications

Solid base in computer vision, machine learning, and deep learning
Knowledge in the field of 3D computer vision techniques (e.g. stereo, structure from motion, Camera model)
Proficiency in Python and deep learning frameworks (e.g. PyTorch)
Experience in working with large scale datasets
Experience with optimizing models in both size and runtime

Preferred Qualifications

PhD or Master's degree in Computer Science, Electrical Engineering, or related field
Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV)
Analytical and detail-oriented with a curiosity about problem-solving
Proficient in both written and verbal communication
Ability to work both autonomously and collaboratively

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