Machine Learning Data Scientist - Computer Vision
Apple
Machine Learning Data Scientist - Computer Vision
Job Description
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on real-time video processing powered by foundation models. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a hardworking Data Scientist to evaluate and craft Apple’s machine learning based products in the field of computer vision, solutions that touch the lives of millions of users around the world. You'll be tasked to collaborate with multi-functional teams including deep learning, quality assurance, cloud infrastructure, and user research. You will drive improvements in algorithm performance and guide feature development through data driven insights, helping to deliver outstanding user experiences across Apple’s product ecosystem. Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple’s diverse computer vision projects. In this role, you will gain deep insight into Apple’s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- strong programming backgroundintermediate
- building automated pipelinesintermediate
- analyzing data at scaleintermediate
- visualizing dataintermediate
- machine learningintermediate
- computer visionintermediate
- real-time video processingintermediate
- deep learningintermediate
- data driven insightsintermediate
- algorithm performance improvementsintermediate
- failure analysesintermediate
- presenting findingsintermediate
- collaborating with multi-functional teamsintermediate
Required Qualifications
- Minimum requirement of a bachelors degree (degree)
- Extensive experience in data science, machine learning, computer vision and statistical data analysis (experience)
- Proven experience in-depth analysis of machine learning model failures (experience)
- Proficient in crafting, conducting, analyzing, and interpreting experiments and investigations (experience)
- Advanced programming skills in data manipulation & processing (SQL & Python preferred) (experience)
- Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc. (experience)
- Experience presenting data to stakeholders (experience)
Preferred Qualifications
- Familiar with machine learning interpretability methods is a huge plus (experience)
- Outstanding verbal and written communication skills, along with strong collaborative abilities (experience)
- Self-motivated and curious with creative and critical thinking capabilities (experience)
Responsibilities
- Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple’s diverse computer vision projects.
- In this role, you will gain deep insight into Apple’s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale.
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Machine Learning Data Scientist - Computer Vision
Apple
Machine Learning Data Scientist - Computer Vision
Job Description
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on real-time video processing powered by foundation models. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a hardworking Data Scientist to evaluate and craft Apple’s machine learning based products in the field of computer vision, solutions that touch the lives of millions of users around the world. You'll be tasked to collaborate with multi-functional teams including deep learning, quality assurance, cloud infrastructure, and user research. You will drive improvements in algorithm performance and guide feature development through data driven insights, helping to deliver outstanding user experiences across Apple’s product ecosystem. Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple’s diverse computer vision projects. In this role, you will gain deep insight into Apple’s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale.
Locations
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- strong programming backgroundintermediate
- building automated pipelinesintermediate
- analyzing data at scaleintermediate
- visualizing dataintermediate
- machine learningintermediate
- computer visionintermediate
- real-time video processingintermediate
- deep learningintermediate
- data driven insightsintermediate
- algorithm performance improvementsintermediate
- failure analysesintermediate
- presenting findingsintermediate
- collaborating with multi-functional teamsintermediate
Required Qualifications
- Minimum requirement of a bachelors degree (degree)
- Extensive experience in data science, machine learning, computer vision and statistical data analysis (experience)
- Proven experience in-depth analysis of machine learning model failures (experience)
- Proficient in crafting, conducting, analyzing, and interpreting experiments and investigations (experience)
- Advanced programming skills in data manipulation & processing (SQL & Python preferred) (experience)
- Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc. (experience)
- Experience presenting data to stakeholders (experience)
Preferred Qualifications
- Familiar with machine learning interpretability methods is a huge plus (experience)
- Outstanding verbal and written communication skills, along with strong collaborative abilities (experience)
- Self-motivated and curious with creative and critical thinking capabilities (experience)
Responsibilities
- Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple’s diverse computer vision projects.
- In this role, you will gain deep insight into Apple’s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Data Scientist - Computer Vision @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs