Machine Learning Engineering Manager – Advanced Analytics, Worldwide BPR – 200551000 -Austin, Texas, United States

Apple

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 Machine Learning Manager for the Advanced Analytics team to join the WW Business Process Re-Engineering Org within World-wide Sales and Operations Support.

At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be leading a team of experts responsible for designing and developing advanced data science solutions from strategic to executional decision-making.

• Experience leading high performing teams and engaging with senior stakeholders.
• Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of guiding the team in designing, developing and deploying analytical solutions at scale
• Practical experience solving real world problems and understanding of predictive modeling and algorithms (eg: anomaly detection, NLP, LLM, CVML).
• Expert practical knowledge of algorithms, strong sense of levers impacting ML accuracy and ability to gain trust with stakeholders and leadership.
• Proficient in tooling and not afraid to roll up your sleeves to get in the weeds, as needed.
• Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem.
• Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity.
• Capability to bring global cross functional team along, Strong critical thinking and problem solving ability.
• Sound communication skills – adept at messaging domain and technical content, at a level appropriate for the audience.
• Phenomenal team leader – invested in the collective success of the team and project outcomes.

 

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