Machine Learning Manager, Gen AI Frameworks Team

Apple • New York, NY

8h

About The Position

At Apple, we believe machine learning should be deeply integrated, thoughtfully
engineered, and responsibly deployed at massive scale. Within the Generative AI
Frameworks team, we are building the foundational ML platforms and frameworks
that enable teams across the organization to create intelligent,
privacy-preserving, and high-impact experiences for millions of users worldwide.
We are looking for an Engineering Manager to lead the development of end-to-end
machine learning frameworks that power how models are built, trained, evaluated,
and deployed across Apple's services. In this role, you will shape the technical
foundations that dozens of product and research teams rely on every day, while
building and growing a high-performing engineering team that operates at the
intersection of infrastructure, applied ML, and developer experience. This is an
opportunity to influence ML at Apple not through a single product, but by
defining the platforms and abstractions that scale innovation across an entire
organization.

DESCRIPTION

This role is responsible for leading a team that designs and delivers shared
machine learning frameworks used across Apple services to develop, evaluate, and
deploy ML models in production. You will partner closely with applied ML teams,
infrastructure teams, and product stakeholders to ensure these frameworks are
scalable, reliable, and easy to adopt. You will set technical direction, manage
execution, and grow engineers while balancing long-term platform investments
with the immediate needs of product teams. Success in this role requires strong
systems thinking, deep empathy for ML practitioners, and the ability to
translate ambiguous organizational needs into durable technical solutions.

Requirements

• Master's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• 2+ years of people management experience leading engineering teams.
• Experience building or maintaining production machine learning systems or platforms.
• Strong background in distributed systems, data-intensive applications, or ML infrastructure.
• Experience partnering cross-functionally with applied ML or data science teams.

Nice To Haves

• Experience building shared ML platforms or frameworks used by multiple teams or organizations.
• Deep understanding of the ML lifecycle, including training pipelines, evaluation methodologies, and deployment patterns.
• Experience operating ML systems at scale in production environments.
• Familiarity with model evaluation, experimentation frameworks, and metrics-driven development.
• Experience balancing platform abstractions with flexibility for diverse use cases.
• Strong technical leadership skills, including architecture reviews and long-term roadmap ownership.
• Demonstrated ability to hire, develop, and retain high-performing engineers.
• Experience working in environments with strong privacy, security, or compliance requirements.

Responsibilities

• Lead a team that designs and delivers shared machine learning frameworks used across Apple services to develop, evaluate, and deploy ML models in production.
• Partner closely with applied ML teams, infrastructure teams, and product stakeholders to ensure these frameworks are scalable, reliable, and easy to adopt.
• Set technical direction
• Manage execution
• Grow engineers while balancing long-term platform investments with the immediate needs of product teams.
• Translate ambiguous organizational needs into durable technical solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager