Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies. We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning... more details
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies.We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Our team combines research and development in a dynamic and exciting environment and delivers robust solutions that are implemented across all of Apple products.
In this role as the successful candidate, you will be crafting web applications that are a critical part of the ML development ecosystem at Apple, which forms a key part of many product-focused machine learning projects across Apple. Your primary focus areas will be building tools that can benchmark, track, document and analyze ML models developed at Apple. You will creatively design and implement new interfaces for studying failure cases for machine learning projects. You may also be called upon to assist with high-profile demonstration apps to show off new technologies.The role requires someone who has significant experience crafting and implementing complex web interfaces. We are looking for someone who is fluent in Python and Javascript (VueJS). You enjoy variety, and are passionate about working on new things on a frequent basis. You love working in projects involving several teams, and driving solutions that take multiple partners into account. You might be a machine learning industry veteran, or simply a stellar engineer wanting to expand your horizons and learn more about the nitty gritty of how machine learning projects get off the ground from inception to release.
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