Computer Vision and Deep Learning Engineer
Apple
Computer Vision and Deep Learning Engineer
Job Description
We are seeking a dedicated 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 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. 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 improve the performance of machine learning models Conduct research to explore novel techniques and algorithms Stay updated with recent advancements in the field 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
Locations
- Herzliya, Tel Aviv District, Israel
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 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
- 3D reconstructionintermediate
- perceptionintermediate
- state-of-the-art deep learning techniquesintermediate
- designing deep learning modelsintermediate
- implementing deep learning modelsintermediate
- optimizing deep learning modelsintermediate
- 3D visionintermediate
- developing algorithmsintermediate
- implementing modelsintermediate
- validating modelsintermediate
- using datasetsintermediate
- unsupervised learningintermediate
- knowledge distillationintermediate
- improving machine learning modelsintermediate
- researching novel techniquesintermediate
- staying updated with advancementsintermediate
- designing metricsintermediate
- evaluating workintermediate
- preparing datasetsintermediate
- filtering datasetsintermediate
- processing datasetsintermediate
- analyzing large-scale datasetsintermediate
- training modelsintermediate
- evaluating modelsintermediate
- analyzing algorithm resultsintermediate
- comparing methodsintermediate
- optimizing models for real-time performanceintermediate
- optimizing for resource efficiencyintermediate
- collaboration with interdisciplinary teamsintermediate
- integrating models into productsintermediate
- collaborating with international teamsintermediate
Required Qualifications
- Solid base in computer vision, machine learning, and deep learning (experience)
- Knowledge in the field of 3D computer vision techniques (e.g. stereo, structure from motion, Camera model) (experience)
- Proficiency in Python and deep learning frameworks (e.g. PyTorch) (experience)
- Experience in working with large scale datasets (experience)
- Experience with optimizing models in both size and runtime (experience)
Preferred Qualifications
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field (degree in master)
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV) (experience)
- Analytical and detail-oriented with a curiosity about problem-solving (experience)
- Proficient in both written and verbal communication (experience)
- Ability to work both autonomously and collaboratively (experience)
Responsibilities
- 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 improve the performance of machine learning models
- Conduct research to explore novel techniques and algorithms
- Stay updated with recent advancements in the field
- 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
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Answer 10 quick questions to check your fit for Computer Vision and Deep Learning Engineer @ Apple.
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Computer Vision and Deep Learning Engineer
Apple
Computer Vision and Deep Learning Engineer
Job Description
We are seeking a dedicated 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 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. 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 improve the performance of machine learning models Conduct research to explore novel techniques and algorithms Stay updated with recent advancements in the field 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
Locations
- Herzliya, Tel Aviv District, Israel
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 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
- 3D reconstructionintermediate
- perceptionintermediate
- state-of-the-art deep learning techniquesintermediate
- designing deep learning modelsintermediate
- implementing deep learning modelsintermediate
- optimizing deep learning modelsintermediate
- 3D visionintermediate
- developing algorithmsintermediate
- implementing modelsintermediate
- validating modelsintermediate
- using datasetsintermediate
- unsupervised learningintermediate
- knowledge distillationintermediate
- improving machine learning modelsintermediate
- researching novel techniquesintermediate
- staying updated with advancementsintermediate
- designing metricsintermediate
- evaluating workintermediate
- preparing datasetsintermediate
- filtering datasetsintermediate
- processing datasetsintermediate
- analyzing large-scale datasetsintermediate
- training modelsintermediate
- evaluating modelsintermediate
- analyzing algorithm resultsintermediate
- comparing methodsintermediate
- optimizing models for real-time performanceintermediate
- optimizing for resource efficiencyintermediate
- collaboration with interdisciplinary teamsintermediate
- integrating models into productsintermediate
- collaborating with international teamsintermediate
Required Qualifications
- Solid base in computer vision, machine learning, and deep learning (experience)
- Knowledge in the field of 3D computer vision techniques (e.g. stereo, structure from motion, Camera model) (experience)
- Proficiency in Python and deep learning frameworks (e.g. PyTorch) (experience)
- Experience in working with large scale datasets (experience)
- Experience with optimizing models in both size and runtime (experience)
Preferred Qualifications
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field (degree in master)
- Publications in top-tier computer vision conferences (CVPR, ICCV, ECCV) (experience)
- Analytical and detail-oriented with a curiosity about problem-solving (experience)
- Proficient in both written and verbal communication (experience)
- Ability to work both autonomously and collaboratively (experience)
Responsibilities
- 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 improve the performance of machine learning models
- Conduct research to explore novel techniques and algorithms
- Stay updated with recent advancements in the field
- 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
Tags & Categories
Answer 10 quick questions to check your fit for Computer Vision and Deep Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs