The computer vision/machine learning engineer will apply his/her expertise in algorithm development, quantitative analysis, data mining, and failure analysis. Partner with research teams to solve problems and identify trends and opportunities. Keep responsibilities will involve developing algorithms, failure analysis, visualizations for machine learning systems.
3-4+ years experience in machine learning, large scale data processing/analytics
Solid programming skills with Python and C/C++
Deep understand of deep learning algorithms and workflows, in particular working with large scale visual data
Background in algorithms development for mining patterns from large scale visual data
Understand algorithm needs and development of infrastructure to enable fast iterations
Understand key metrics that impact machine learning algorithms
Agile integration of deep learning, data collection and failure analysis
Designing and evaluating experiments monitoring key performance measures
Visualization and deeper understanding of deep learning networks
Ability to communicate the results of analyses in a clear and effective manner
The video engineering group is looking for a Computer Vision/Machine Learning Engineer. The position requires software engineering & design experience as well as understanding of hardware and deep learning algorithms. In this position, you will work together with algorithm engineers on developing software and tools for the next generation of Apple products. The main tasks associated to this position range from algorithm design and implementation, to integration, optimization and benchmarking with an emphasis on performance and power. You will work closely with hardware teams as well as driver/firmware teams to build our software stack for state of the art machine learning and computer vision algorithms.
PhD or Master in computer science, machine learning, deep learning or computer vision.
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