Machine Learning Engineer- Advanced Analytics, Worldwide Business Process Re-Engineering
Apply NowCompany: Apple
Location: Sunnyvale, CA 94087
Description:
Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just craft products - we build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!
Apple is looking for a dynamic, highly motivated, experienced Applied Machine Learning Engineer, with expertise and experience in GenAI, for the Advanced Analytics team to join the WW Business Process Re-Engineering Org within Worldwide Sales and Operations Support.
Description
At Apple, the increasing supply chain complexity and scale presents unique challenges. This role is focused on applying GenAI technologies to solve complex supply chain challenges within an enterprise context. The ideal candidate will have a proven track record of delivering scalable, value-driven data science and GenAI solutions. You will be working with a team of experts responsible for designing and developing advanced data science solutions from strategic to executional decision-making and with engineering and application teams to integrate these solutions into our existing systems.
Key responsibilities include:
Design and develop advanced machine learning models, particularly focusing on Generative AI, to address specific supply chain use cases such as demand forecasting, inventory optimization, and logistics planning.
Work closely with cross-functional teams, including engineering, data science, and application development, to integrate GenAI solutions into enterprise systems.
Stay abreast of the latest advancements in machine learning and GenAI, and explore innovative ways to apply these technologies to supply chain challenges.
Ensure that GenAI solutions are scalable and can be deployed across large, complex enterprise environments.
Think big about the arc of development of GenAI over multi year horizon, identity high ROI opportunities that will benefit from this technology and deliver critical projects.
Guide partner teams to enable analytics data strategy and infra to support experimentation as well as robust deployment at enterprise scale.
Communicate results and insights to partners and senior leaders, technical and non-technical. Influence decision making with leadership.
Provide guidance and mentorship to team members and contribute to the overall growth of the analytics team.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just craft products - we build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!
Apple is looking for a dynamic, highly motivated, experienced Applied Machine Learning Engineer, with expertise and experience in GenAI, for the Advanced Analytics team to join the WW Business Process Re-Engineering Org within Worldwide Sales and Operations Support.
Description
At Apple, the increasing supply chain complexity and scale presents unique challenges. This role is focused on applying GenAI technologies to solve complex supply chain challenges within an enterprise context. The ideal candidate will have a proven track record of delivering scalable, value-driven data science and GenAI solutions. You will be working with a team of experts responsible for designing and developing advanced data science solutions from strategic to executional decision-making and with engineering and application teams to integrate these solutions into our existing systems.
Key responsibilities include:
Design and develop advanced machine learning models, particularly focusing on Generative AI, to address specific supply chain use cases such as demand forecasting, inventory optimization, and logistics planning.
Work closely with cross-functional teams, including engineering, data science, and application development, to integrate GenAI solutions into enterprise systems.
Stay abreast of the latest advancements in machine learning and GenAI, and explore innovative ways to apply these technologies to supply chain challenges.
Ensure that GenAI solutions are scalable and can be deployed across large, complex enterprise environments.
Think big about the arc of development of GenAI over multi year horizon, identity high ROI opportunities that will benefit from this technology and deliver critical projects.
Guide partner teams to enable analytics data strategy and infra to support experimentation as well as robust deployment at enterprise scale.
Communicate results and insights to partners and senior leaders, technical and non-technical. Influence decision making with leadership.
Provide guidance and mentorship to team members and contribute to the overall growth of the analytics team.