Apple AR/VR Job | Sr. Machine Learning Engineering Manager, Intelligent System Experience
Job（岗位）: Sr. Machine Learning Engineering Manager, Intelligent System Experience
Citys（岗位城市）: Seattle, Washington, United States
Date（发布日期）: 2025-2-24
Summary（岗位介绍）
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!
Qualifications（岗位要求）
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
Description（岗位职责）
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.
Additional Requirements（额外要求）
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
