Sr. Machine Learning Engineering Manager, Intelligent System Experience

Summary

Posted: Feb 24, 2025

Role Number:200592607

The Intelligent System Experience (ISE) team is searching for a senior ML leader to help shape how devices of the future perceive, understand and anticipate human interactions. You will lead a team to invent and develop techniques for modeling natural human interactions with objects, devices and humans. This is an opportunity to join an applied research team with a proven track record in advanced human sensing and generative AI that has been at the forefront of developing novel Apple Intelligence features!

Description

We are looking for a hands-on technical leader who can set long-term goals, while charting a path with measurable progress milestones along the way. You will provide hands-on technical direction to your team, forge collaborations and influence cross-functional partners. This leader will also ensure buy-in from senior leadership and adapt to feedback and changes in a dynamic environment. You will be expected to advance human interaction modeling across various fronts, at a system level, and at a core ML algorithm level. Some of the myriad challenges include perceiving subtle cues in gaze, affect, or prosody, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, generating semantically rich internal representation to enable open-ended downstream tasks, etc. You will be responsible for delivering solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models, or algorithms well integrated into training infrastructure.

• 5+ years of experience leading ML research teams.
• Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning.
• Strong organizational skills and experience working with large cross-functional and diverse teams.
• Strong programming skills in Python, maintaining ML code-bases grounded in software engineering principles

• Experience leading applied research in an industry setting
• Proven track record of deployting innovative ML technologies in production.
• Familiarity with developing ML for resource-constrained devices.
• Master's or PhD's degree in Computer Science, Engineering or a related field
• Publications in peer-reviewed venues in relevant areas

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $208,300 and $360,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.