Computer Vision and Deep Learning Engineer

Job Description

Summary

Posted: Nov 13, 2024 Role Number: 200578873 We are seeking a talented 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 designing and training these models whose derivatives will be deployed in various Apple products.

Description

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 enhance the performance of machine learning models. * Conduct research to explore novel techniques and algorithms. * Stay updated with recent advancements in the field. * Design and utilize 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

Minimum Qualifications

• Strong foundation 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

Key Qualifications

Key Qualifications

Preferred Qualifications

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 knack for problem-solving.
• Proficient in both written and verbal communication.
• Ability to work both autonomously and collaboratively.
• Friendliness

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements More