AIML - Sr Engineering Program Manager, Machine Learning FM

Apple; Cambridge (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior Engineering Program Manager to lead machine learning initiatives. This role involves managing complex projects, coordinating with diverse teams, and ensuring compliance with legal regulations. The ideal candidate will have a strong background in program management, particularly in machine learning and data acquisition. Join this innovative firm to make a significant impact in the field of AI and machine learning, working on groundbreaking projects that will shape the future of technology.

Qualifications

• 5+ years in program management with a focus on ML data acquisition.
• Leadership in security and privacy initiatives with legal and engineering teams.

Responsibilities

• Lead high-profile Foundation Model programs and manage project schedules.
• Identify and mitigate risks while ensuring compliance with regulations.

Skills

Program Management

Machine Learning Concepts

Communication Skills

Project Management

Risk Management

Education

Bachelor’s Degree in Electrical Engineering

Master’s Degree in Computer Science

Job description

AIML - Sr Engineering Program Manager, Machine Learning FM

Location: Cambridge, Massachusetts, United States

Summary

Apple is where individual imaginations gather together, committed to creating great work. We build innovative products, services, and experiences that aim to change lives for the better. Our diversity fuels our innovation, and by including everyone, we achieve our best work. Join us to make a difference.

Role Overview

Are you passionate about evaluating ML models and validating AI applications? We seek an engineering program manager to lead our ML international locales expansion. The ideal candidate will have a proven track record of managing complex platform projects, understanding ML system mechanics, and scaling products to billions of users. You will coordinate with vendors, platform teams, legal, finance, and partner data scientists & engineers to develop data assets for groundbreaking machine learning experiences.

Responsibilities

1. Lead high-profile Foundation Model programs, including roadmapping, goal setting with DRIs, and executive reporting.
2. Drive consensus among diverse teams, influence project execution, and align efforts around common objectives.
3. Create and manage project schedules, dependencies, and systematic communication of status.
4. Identify and mitigate risks proactively, adapting agile project management strategies.
5. Ensure teams stay on critical paths, minimizing distractions and delays.
6. Provide regular, clear updates to stakeholders and executive teams.
7. Maintain alignment across dependency teams through proactive communication.
8. Plan and manage annual and quarterly budgets for data acquisition.
9. Ensure compliance with privacy, legal, and regional regulations in data management.

Minimum Qualifications

• 5+ years in program management, especially in ML data acquisition; international experience is a plus.
• Strong understanding of ML concepts, evaluation, and release processes.
• Excellent communication skills for technical and non-technical audiences.
• Experience translating technical requirements into platform roadmaps.
• Leadership in security and privacy initiatives, collaborating with legal and engineering teams.
• Exceptional project management skills with multiple interdependent work streams.
• Ability to work collaboratively and independently prepare and present strategic recommendations.
• Bachelor’s or Master’s degree in EE/CS/CE or equivalent.

Preferred Qualifications

• Experience in search, speech recognition, natural language understanding, or data pipelines.
• International locales experience.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights here.

We participate in E-Verify and provide reasonable accommodations for applicants with disabilities. Learn more about our policies here.