Senior Computer Vision AI/ML Researcher
Apple
Senior Computer Vision AI/ML Researcher
Job Description
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. 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.
Locations
- Herzliya, Tel Aviv District, Israel
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- developing deep learning modelsintermediate
- computer visionintermediate
- machine learningintermediate
- AIintermediate
- model creationintermediate
- model trainingintermediate
- model validationintermediate
- exploring novel techniquesintermediate
- innovating algorithmsintermediate
- staying current with advancementsintermediate
- designing modelsintermediate
- implementing modelsintermediate
- optimizing modelsintermediate
- validating modelsintermediate
- using large datasetsintermediate
- ensuring robustnessintermediate
- ensuring accuracyintermediate
- ensuring fairnessintermediate
- knowledge distillationintermediate
- on-device executionintermediate
- evaluating model performanceintermediate
- preparing datasetsintermediate
- filtering dataintermediate
- processing dataintermediate
- analyzing dataintermediate
- analyzing algorithm resultsintermediate
- benchmarking methodsintermediate
- collaborating with teamsintermediate
Required Qualifications
- Solid foundation in computer vision, machine learning, and deep learning principles. (experience)
- Experience working with large scale datasets (experience)
- Proficiency in Python, AI coding tools and deep learning frameworks (e.g. PyTorch) (experience)
Preferred Qualifications
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV) (experience)
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field (degree in master)
- Experience with imaging in the health domain. (experience)
- Strong analytical skills, detail-oriented approach, and a passion for problem-solving. (experience)
- Excellent written and verbal communication skills. (experience)
Responsibilities
- 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.
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Answer 10 quick questions to check your fit for Senior Computer Vision AI/ML Researcher @ Apple.
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Senior Computer Vision AI/ML Researcher
Apple
Senior Computer Vision AI/ML Researcher
Job Description
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. 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.
Locations
- Herzliya, Tel Aviv District, Israel
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- developing deep learning modelsintermediate
- computer visionintermediate
- machine learningintermediate
- AIintermediate
- model creationintermediate
- model trainingintermediate
- model validationintermediate
- exploring novel techniquesintermediate
- innovating algorithmsintermediate
- staying current with advancementsintermediate
- designing modelsintermediate
- implementing modelsintermediate
- optimizing modelsintermediate
- validating modelsintermediate
- using large datasetsintermediate
- ensuring robustnessintermediate
- ensuring accuracyintermediate
- ensuring fairnessintermediate
- knowledge distillationintermediate
- on-device executionintermediate
- evaluating model performanceintermediate
- preparing datasetsintermediate
- filtering dataintermediate
- processing dataintermediate
- analyzing dataintermediate
- analyzing algorithm resultsintermediate
- benchmarking methodsintermediate
- collaborating with teamsintermediate
Required Qualifications
- Solid foundation in computer vision, machine learning, and deep learning principles. (experience)
- Experience working with large scale datasets (experience)
- Proficiency in Python, AI coding tools and deep learning frameworks (e.g. PyTorch) (experience)
Preferred Qualifications
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV) (experience)
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field (degree in master)
- Experience with imaging in the health domain. (experience)
- Strong analytical skills, detail-oriented approach, and a passion for problem-solving. (experience)
- Excellent written and verbal communication skills. (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Computer Vision AI/ML Researcher @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs