Machine Learning Research Engineer
Apple
Machine Learning Research Engineer
Job Description
Video is at the core of nearly all Apple products, and as an engineer on our team, you will research practical ML algorithms and build with us the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems at the frontier of deep learning and compression research. Your work will redefine the video experience for billions of users. In this role you will work together with colleagues to develop ML-based video approaches for current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the cutting edge of research. Strong and analytical skills will be critical towards solving challenging problems in uncharted technical territories. Your responsibilities will include: - Research various components of a DL-based approach to image/video processing problems: invent models, design appropriate datasets and pipelines to train them, prototype new architectures to improve performance, study existing literature, and so on. - Collaborate closely with team members to optimize the efficiency of the models and deploy them on particular hardware architectures. - Work with cross-functional teams to achieve quality and computational requirements towards shipping the technology. - Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues, and so on.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- research practical ML algorithmsintermediate
- build video technologyintermediate
- deep learningintermediate
- compression researchintermediate
- develop ML-based video approachesintermediate
- analytical skillsintermediate
- research DL-based approach to image/video processingintermediate
- invent modelsintermediate
- design datasets and pipelinesintermediate
- prototype new architecturesintermediate
- study existing literatureintermediate
- collaborate with team membersintermediate
- optimize model efficiencyintermediate
- deploy models on hardware architecturesintermediate
- work with cross-functional teamsintermediate
- communicate technologyintermediate
- present to leadershipintermediate
- discuss progress with colleaguesintermediate
Required Qualifications
- Master’s degree in Computer Science, Electrical Engineering, or closely related fields. (degree in computer science)
- 5+ years of hands-on experience in ML research, which can include Ph.D. work. (experience, 5 years)
- Proven track record of success in deep learning, with publications in top ML/CV venues. (experience)
- Familiarity with the latest ML and CV innovations. (experience)
- Software skills in common ML tools such as PyTorch or TensorFlow. (experience)
- Knowledge of ML and specifically deep learning: principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, objective function design, and so on. (experience)
Preferred Qualifications
- Ph.D. in Computer Science, Electrical Engineering, or closely related fields. (experience)
- Experience implementing custom ops in CUDA. (experience)
- Experience in designing practical ML implementations and having ML experience in industry. (experience)
- Experience with generative modeling, optical flow, perceptual quality, ML for video or data compression. (experience)
- Excellent written and oral communication skills. (experience)
Responsibilities
- In this role you will work together with colleagues to develop ML-based video approaches for current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the cutting edge of research. Strong and analytical skills will be critical towards solving challenging problems in uncharted technical territories. Your responsibilities will include:
- - Research various components of a DL-based approach to image/video processing problems: invent models, design appropriate datasets and pipelines to train them, prototype new architectures to improve performance, study existing literature, and so on.
- - Collaborate closely with team members to optimize the efficiency of the models and deploy them on particular hardware architectures.
- - Work with cross-functional teams to achieve quality and computational requirements towards shipping the technology.
- - Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues, and so on.
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Machine Learning Research Engineer
Apple
Machine Learning Research Engineer
Job Description
Video is at the core of nearly all Apple products, and as an engineer on our team, you will research practical ML algorithms and build with us the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems at the frontier of deep learning and compression research. Your work will redefine the video experience for billions of users. In this role you will work together with colleagues to develop ML-based video approaches for current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the cutting edge of research. Strong and analytical skills will be critical towards solving challenging problems in uncharted technical territories. Your responsibilities will include: - Research various components of a DL-based approach to image/video processing problems: invent models, design appropriate datasets and pipelines to train them, prototype new architectures to improve performance, study existing literature, and so on. - Collaborate closely with team members to optimize the efficiency of the models and deploy them on particular hardware architectures. - Work with cross-functional teams to achieve quality and computational requirements towards shipping the technology. - Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues, and so on.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- research practical ML algorithmsintermediate
- build video technologyintermediate
- deep learningintermediate
- compression researchintermediate
- develop ML-based video approachesintermediate
- analytical skillsintermediate
- research DL-based approach to image/video processingintermediate
- invent modelsintermediate
- design datasets and pipelinesintermediate
- prototype new architecturesintermediate
- study existing literatureintermediate
- collaborate with team membersintermediate
- optimize model efficiencyintermediate
- deploy models on hardware architecturesintermediate
- work with cross-functional teamsintermediate
- communicate technologyintermediate
- present to leadershipintermediate
- discuss progress with colleaguesintermediate
Required Qualifications
- Master’s degree in Computer Science, Electrical Engineering, or closely related fields. (degree in computer science)
- 5+ years of hands-on experience in ML research, which can include Ph.D. work. (experience, 5 years)
- Proven track record of success in deep learning, with publications in top ML/CV venues. (experience)
- Familiarity with the latest ML and CV innovations. (experience)
- Software skills in common ML tools such as PyTorch or TensorFlow. (experience)
- Knowledge of ML and specifically deep learning: principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, objective function design, and so on. (experience)
Preferred Qualifications
- Ph.D. in Computer Science, Electrical Engineering, or closely related fields. (experience)
- Experience implementing custom ops in CUDA. (experience)
- Experience in designing practical ML implementations and having ML experience in industry. (experience)
- Experience with generative modeling, optical flow, perceptual quality, ML for video or data compression. (experience)
- Excellent written and oral communication skills. (experience)
Responsibilities
- In this role you will work together with colleagues to develop ML-based video approaches for current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the cutting edge of research. Strong and analytical skills will be critical towards solving challenging problems in uncharted technical territories. Your responsibilities will include:
- - Research various components of a DL-based approach to image/video processing problems: invent models, design appropriate datasets and pipelines to train them, prototype new architectures to improve performance, study existing literature, and so on.
- - Collaborate closely with team members to optimize the efficiency of the models and deploy them on particular hardware architectures.
- - Work with cross-functional teams to achieve quality and computational requirements towards shipping the technology.
- - Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues, and so on.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Research Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs