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Apple
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring pass
Job Source: AppleApple Inc.
Sunnyvale, CA, United States
Machine Learning Scientist/Engineer, Applied Machine Learning Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling w
Job Source: Apple Inc.Coactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AICoactive AI
San Jose, CA, United States
Applied Machine Learning research scientist you will work coactively with the best in Machine Learning and data systems, building the foundation for understanding unstructured image and video data. What you’ll do: Conduct thorough market research to identify potential technological differentiators in the landscape of machine learning products. Fo
Job Source: Coactive AIJPMorgan Chase & Co.
Palo Alto, CA, United States
Does working with real data and having an impact on the small businesses that are the backbone of the US economy excite you? Do you want to be a thought leader in the Payment space by stretching boundaries with innovative Fraud solutions ? J.P. Morgan Chase Corporate & Investment Bank is a global leader across investment banking, wholesale payment
Job Source: JPMorgan Chase & Co.Coactive AI
San Jose, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AIApple
Sunnyvale
Machine Learning Scientist/Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Do you want to work on building groundbreaking Machine Learning (ML) technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion
Job Source: AppleApple
Sunnyvale, CA, United States
Machine Learning Engineer, Applied Machine Learning Sunnyvale,California,United States Corporate Functions Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could acc
Job Source: ApplePalo Alto, CA, United States
We are looking for experienced and accomplished Applied Scientists for Machine Learning (ML). You are supposed to be strong in both practical R&D and fundamentals with deep and broad expertise in several or at least a few applied science disciplines. You should have a good understanding of the state-of-the-art ML algorithms and methods, exceptional publication records (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, etc.), and good knowledge and experience in computer science and engineering (e.g., how to use CPUs/GPUs for efficient training and inference for diverse use cases). You should also have extensive experience and skills in collaboration with software engineering teams to enable the scaling and productization of ML algorithms.
Responsibilities Develop cutting-edge Machine Learning algorithms in time-series or computer vision domain and technical areas such as online classification, regression, supervised/unsupervised learning, reinforcement learning, anomaly detection, pattern recognition, image restoration/denoising, object detection/segmentation, or hybrid ML algorithms.
Collaborate with other applied scientists to experiment, and develop algorithms/prototypes that advance the state-of-the-art in industrial AI.
Work with software engineers to provide support for scaling and productization of algorithms.
Work with PMs to define use cases, collect data, and benchmark the results.
Lead projects independently and help PMs in a dynamic environment where business, product, and technical strategies are evolving even when problems are not well understood yet.
Contribute to Gauss Labs's intellectual property pools through patents and technical publications.
Contribute to Gauss Labs's research advancement by publishing technical papers at external conferences and journals.
Key Qualifications Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Computer Vision, Statistics, or related fields.
3+ years of experience doing exceptional Machine Learning research as demonstrated by both scientific publications in top venues and solutions to resolve complex business problems for potential industrial impact
Hands-on experience programming in Python, R, C++, Java, or other modern programming languages.
Experience in large-scale ML systems and related technologies, including commercial cloud stacks, resource provisioning/orchestration, and scaling methodologies (e.g., distributed optimization).
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Email Alert for Applied Scientist - Machine Learning (US/KR) jobs in Palo Alto, CA, United States
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