AIML – Director of Machine Learning Applied Research, Data & ML Innovation Full-time

Summary
We are looking to hire a senior technical leader with a strong record in leading applied research
teams. You will lead and grow an organization accountable for building machine learning
technologies to enable breakthrough experiences that make a real difference in the lives of
hundreds of millions of users.

Key Qualifications
10+ years of combined management and professional experience in machine learning, research, and software engineering, and a proven record in running an applied research organization with product impacts

Strong organizational skills and experience working with large cross-functional and diverse teams

Excellent problem solving, critical thinking, and communication skills

Experience in scientific computing, high-performance computing, applied machine learning, or deep learning

Strong in computer science fundamentals, software engineering principles and development methodologies

Experience with incubation, development and deployment of machine learning technologies into products

Ability to take ambiguous ideas from inception to deployment

Experience with setting and executing innovation strategies at both technical and organizational levels to drive research directions and business objectives.

Description
The Data and Machine Learning Innovation team focuses on innovative technologies,
methodologies, and research to enable amazing user experiences and advance the frontier of
machine learning at Apple. The team works broadly with Machine Learning teams across the
company to advance capabilities. This role is highly multi-functional, and you will collaborate
very closely with various highly skilled machine learning and software development teams to
develop groundbreaking research and solutions for Apple products.

As a Senior Technical Leader, you will:
– Lead teams of machine learning and software engineers to research, build and deliver AI
technologies that enable AI-driven customer-facing products and features.

– Work cross-functionally on a diverse set of exciting problems, collaborate with world-
class software and machine learning engineers and researchers to impact the future of
Apple products.

– Lead research portfolio, help identify long-term ambitious research goals as well as
intermediate milestones, prioritize research that can be applied to Apple’s product development.

– Build and grow inclusive, high-functioning, diverse teams.

Education & Experience
– MS/PhD in Computer Science or equivalent