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Machine Learning Video Research Engineer

Cupertino, CA, US • Posted 1 day ago • Updated 9 hours ago

Full Time

On-site

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Job Details

Skills

Algorithms
Collaboration
Management
Analytical Skill
Research
Publications
Generative Artificial Intelligence (AI)
PyTorch
TensorFlow
Deep Learning
Prototyping
Training
Visualization
Debugging
Computer Science
Electrical Engineering
CUDA
Modeling
Machine Learning (ML)
Video
Data Compression
Communication

Summary

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.

BS and a minimum of 3 years relevant industry experience\n3+ years of hands-on experience in ML research, which can include Ph.D. work\nProven track record of success in deep learning, with publications in top ML/CV venues\nFamiliarity with the latest ML and CV innovations, including GenAI modeling techniques\nSoftware skills in common ML tools such as PyTorch or TensorFlow\nKnowledge of ML and specifically deep learning: principles, model prototyping and architecture design, training procedures, visualization and debugging methodology, objective function design, and so on

Ph.D. or Master's degree in Computer Science, Electrical Engineering, or closely related fields\nExperience implementing custom ops in CUDA\nExperience in designing practical ML implementations and having ML experience in industry\nExperience with generative modeling, optical flow, perceptual quality, ML for video or data compression\nExcellent written and oral communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 5e7d60328e9d73df2f1e88fb839be5dc
Posted 1 day ago

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