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Apple Applied Machine Learning Research Engineer - Perception Algorithms United States, California, Sunnyvale 637305123
07.04.2025
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Your key responsibilities in this role are:- Research, design, train, and evaluate machine learning/deep learning algorithms to address product goals.- Benchmark and analyze machine learning/deep learning algorithms to understand limitations.- Optimize algorithms for real time and low power constraints.
- MS in Computer Science or related field with focus on machine learning, computer vision, robotics or similar.
- Experience in designing and training efficient network architectures for a diverse set of tasks e.g. image2image translation tasks (like Semantic Segmentation, Panoptic Segmentation), language-guided visual grounding, etc.
- Experience with data curation for training vision language models, assessment of vision language model capabilities, introduction of new capabilities into backbones trained with vision-language supervision / self-supervised learning.
- Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms.
- Solid mathematical foundation of machine learning and deep learning techniques.
- Strong coding skills in python (with pytorch) and C/C++.
- Creativity and curiosity for solving highly complex problems.
- Experience with designing and training with pipelines which consume large (billion scale) data for training efficient vision language models for edge-devices. This includes writing efficient data loading pipelines, utilizing distributed GPU training framework.
- Experience with advanced task-specific quality optimization techniques (few-shot learning, meta-learning, domain adaptation, knowledge-distillation) for improving network performance and handling specific failure cases (long-tailed distributions/under-represented classes) for downstream tasks.
- Strong coding skills in ObjectiveC.
- Excellent communication and collaboration skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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