Computer Vision and Deep Learning Engineer

Key Skills

Computer Vision (CV), Deep Learning, Design, Effective communication skills, Machine learning techniques, Optimization, Python Programming, PyTorch

Job 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

• 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

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