Machine Learning Engineer, Applied Machine Learning

Machine Learning Engineer, Applied Machine LearningSeattle, Washington, United StatesCorporate FunctionsDo you want to work on building groundbreaking 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 what you could accomplish. The Applied Machine Learning Data Science team is a group of innovative ML engineers and scientists from diverse disciplines with extensive track records in both academia and industry. ML Engineers of the team work on many high-impact projects, building state of the art machine learning models that serve various Apple lines of business and enrich end user experiences. We have the opportunity to do groundbreaking applied machine learning work that will shape the industry. As ML Engineers, we develop cutting-edge machine learning algorithms to enable current and future products and services in various enterprise scenarios!DescriptionThe ML Engineer will work on solving real world business problems through machine learning and computer vision. You will devise models and ML approaches to solve these problems and achieve business KPIs, working with large-scale data sets with intensive hands-on code development. In addition, the role requires close partnering with business teams in articulating the research methodologies and results. The role also requires collaboration with engineering teams in integrating and deploying ML models to deliver amazing user experiences. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team. We are in need of a creative thinker with deep expertise in machine learning, algorithms, and optimization. You will work with amazing colleagues, brainstorm new ideas, and develop models and algorithms to solve ambitious problems that have a substantial impact.Minimum QualificationsBachelor's Science, Computer Science, engineering or similar quantitative field with a focus on machine learning.3+ years of industry experience implementing end-to-end data science and machine learning projects. Familiarity with SW development and release cycles.2+ years of experience in one or more of the following ML areas: Computer Vision, NLP, Gen AI, AR/VR, Document Intelligence.2+ years of experience in algorithm design, modeling, or quantitative analysis.Experience with deep learning frameworks such as Pytorch, TensorFlow, and Keras.Experience with optimization, approximation algorithms, distributed algorithm design, and hands-on implementation of these techniques.Preferred QualificationsMS or Ph.D. in Computer Science, engineering or similar quantitative field with a focus on machine learning is strongly preferred.

#J-18808-Ljbffr