Computer Vision and Deep Learning Researcher at Apple

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Deep Learning, Python, AI Coding Tools, Deep Learning Frameworks, Model Optimization, Data Analysis, Algorithm Optimization, Collaboration, Health Imaging, Research, Knowledge Distillation, Metrics Evaluation, Large Scale Datasets, Problem Solving

Industry

Computers and Electronics Manufacturing

Description

We are seeking a dedicated Computer Vision Research Engineer to join our team. The job involves developing deep learning, models for health-related vision use cases using cutting-edge 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 Health vision. Research: Conduct research to explore novel techniques and algorithms,stay updated with recent advancements in the field,implement and validate models using various datasets,investigate knowledge distillation techniques to improve the performance of machine learning models, 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 Experience in working with large scale datasets Proficiency in Python, AI coding tools and deep learning frameworks (e.g. PyTorch) Experience with optimizing models in both size and runtime PREFERRED QUALIFICATIONS Experienced with Health imaging domain 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

Responsibilities

Develop deep learning models for health-related vision use cases and conduct research to explore novel techniques and algorithms. Collaborate with interdisciplinary teams to integrate models into larger products or research studies.