Machine Learning Video Research Engineer
Apple
Cupertino, California
Posted 2 days ago
Qualifications
Education
BS and a minimum of 3 years relevant industry experience
Responsibilities
Primary Duties
- Research various components of a Deep-Learning based approach to image/video processing problems
- Collaborate closely with team members to optimize the efficiency of the models
- Work with cross-functional teams to achieve quality and computational requirements
- Communicate: demonstrate the technology, present to leadership, discuss progress with colleagues
Experience Requirements
Required
3+ years of hands-on experience in ML research
3 years of experience
Benefits & Perks
Benefits Package
- Comprehensive medical and dental coverage
- retirement benefits
- a range of discounted products and free services
- reimbursement for certain educational expenses including tuition
Required Skills
Technical Skills
ML researchdeep learningPyTorchTensorFlow
Full Job Description
Machine Learning Video Research Engineer
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.
Responsibilities
Minimum Qualifications
Preferred Qualifications
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
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.
Responsibilities
- Research various components of a Deep-Learning 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.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience.
- 3+ years of hands-on experience in ML research, which can include Ph.D. work.
- Proven track record of success in deep learning, with publications in top ML/CV venues.
- Familiarity with the latest ML and CV innovations, including GenAI modeling techniques.
- Software skills in common ML tools such as PyTorch or TensorFlow.
- 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.
Preferred Qualifications
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, or closely related fields.
- Experience implementing custom ops in CUDA.
- Experience in designing practical ML implementations and having ML experience in industry.
- Experience with generative modeling, optical flow, perceptual quality, ML for video or data compression.
- Excellent written and oral communication skills.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
How to Apply
$136
/ hour
Apple pays $136 for Software Engineer in Cupertino, California, with most salaries ranging from $92 to $209. Pay can vary based on role, experience, and local cost of living.
Median
$136
Low
$92
High
$209
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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.





