Video Machine Learning Engineer, Audio & Media Technologies

What you'll do

• Design, train, evaluate, and improve video machine-learning models and neural network architectures.
• Optimize models for Apple hardware and integrate end-to-end machine-learning pipelines into products and frameworks.
• Prototype research techniques, benchmark performance, and collaborate with product, software, and hardware teams.

What they ask for

• Bachelor’s degree in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Strong deep-learning and neural-network design foundation, including hands-on model building, training, and deployment.
• Proficiency in one or more deep-learning frameworks, such as PyTorch or TensorFlow.
• Experience with computer vision and/or image and video processing; strong Python and/or C/C++ programming skills.

Nice to have

• Experience with video codecs or neural compression; experience with diffusion models or generative image/video approaches.
• Experience deploying neural networks on edge or mobile devices, or relevant published research.

Pay

$142,300 and $263,300 (USD, base salary)

Tools

PyTorch, TensorFlow, Python, C/C++, H.264, H.265/HEVC, AV1, VVC

AI focus

Research, develop, train, evaluate, and deploy machine-learning models for video processing, compression, understanding, enhancement, and synthesis; optimize models for Apple hardware.