Senior Computer Vision AI/ML Researcher

We are seeking a talented and highly motivated Computer Vision AI/ML Researcher to join our innovative team. In this role, you will develop state-of-the-art deep learning models for computer vision, with a specific focus on impactful applications within the health domain. As a key contributor, you will participate in the entire lifecycle of model creation, training, and validation, with the potential to see your work deployed in Apple products.
If you have passion, dedication, and a desire to make a difference, the possibilities are limitless in this role!
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
As a senior computer vision AI/ML researcher, you will:
Drive Innovation: Explore and innovate novel and SOTA techniques and algorithms in ML/AI/computer vision, staying current with the latest advancements in the field.
Develop Models: Design, implement, and optimize deep learning models for various computer vision tasks applied to Health.
Validate Performance: Implement and validate models using diverse and large datasets, ensuring robustness, accuracy and fairness.
Optimize for Efficiency: Investigate knowledge distillation techniques to enhance the performance of your models and optimize them for on-device execution.
Evaluate Rigorously: Design and implement various metrics to rigorously evaluate model performance.
Analyze Data: Prepare, filter, process, and analyze large-scale datasets for training and evaluating models. Thoroughly analyze algorithm results and benchmark against leading methods.
Collaborate Effectively: Work closely with interdisciplinary international teams, including clinicians, designers, and engineers, to integrate models into large programs and research studies.

Preferred Qualifications
Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV)
PhD or Master's degree in Computer Science, Electrical Engineering, or related field
Experience with imaging in the health domain.
Strong analytical skills, detail-oriented approach, and a passion for problem-solving.
Excellent written and verbal communication skills.

Minimum Qualifications
Solid foundation in computer vision, machine learning, and deep learning principles.
Experience working with large scale datasets
Proficiency in Python, AI coding tools and deep learning frameworks (e.g. PyTorch)","internalDetails":null,"eeoContent":null