Deep Learning Optimization and Infrastructure Manager - System Intelligence and Machine Learning

Deep Learning Optimization and Infrastructure Manager – System Intelligence and Machine Learning

Solid grasp of foundational generative technologies, including LLMs and diffusion models
Deep understanding of deep learning and machine learning
Comprehensive understanding of the machine learning pipeline, encompassing data processing, training, and performance analysis
Knowledge of distributed systems and their application to machine learning
Strong analytical and problem-solving skills, with emphasis on software debugging of complex ML code bases
High fluency in Python and ability to navigate in C/C++/Objective-C/Swift code bases
Experience in structuring software development teams
Experience in building scalable and maintainable software operating on large datasets and with a high degree of task parallelism
Familiarity with evolving ecosystems and with the infrastructure integration challenges
Familiarity with the challenges of developing algorithms and models that eventually run on embedded hardware
Excellent written and verbal communication skills
Excellent problem-solving and project management skills
Ability to interact with parties with varying levels of technical proficiency
Ability to work hands-on in multi-functional teams
Demonstrated capacity to build solid relationships across organizations and functions (R&D, privacy and legal, tools & infrastructure…)
Ambitious and willing to continuously grow your technical background

Lead a team focused on developing frameworks, tools, and services primarily in Python that support the development, training, testing, optimization, and deployment of machine learning models across the entire Apple ecosystem
Oversee a team with diverse expertise in various machine learning areas
Collaborate closely with teams across the company to create an end-to-end ecosystem of ML solutions used throughout Apple
Integrate with numerous internal libraries and support a broad and highly engaged user base
Drive innovation at scale