职位描述：
Summary：
If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.
Description：
The computer vision engineer will work in a dynamic team as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.
职位要求：
Minimum Qualifications：
M.S. or Ph.D. in Electrical/Computer Engineering, Computer Science, Mathematics, Physics, or a related field, with a research focus on computer vision or data-centric machine learning.
Production-Scale Expertise: Demonstrated success designing and shipping petabyte-scale image/video data systems to production.
Domain Depth: Hands-on experience in at least one of the following areas: video generation pipelines, multimodal LLM training, or data-centric AI workflows.
Technical Stack: Proficient in Python and C++ or Rust, with production experience using at least one distributed data framework (e.g., Spark, Ray, Flink, Dask).
Communication & Collaboration: Exceptional written and verbal English skills; comfortable presenting to large technical audiences and partnering with cross-functional teams.
Preferred Qualifications：
Deep familiarity with video-generation and multimodal foundation models, including the specialized data-loading strategies they demand.
Proven track record curating and serving 10 PB+ or 1 B-item+ datasets for machine-learning and computer-vision workloads, with an emphasis on reliability, privacy, and cost efficiency.
Publications or significant OSS contributions in scalable data systems, dataset retrieval/search, or data-centric AI—and active participation in relevant benchmarks, challenges, or steering committees
Hands-on mentality to own engineering projects from inception to shipping products and the ability to work independently and as part of a cross-functional team.
Track records of adopting ML to solve cross-disciplinary problems.
Team-oriented, self-motivated, and relentlessly focused on translating ambitious ideas into measurable impact.
招聘部门：
Apple Machine Learning and AI
工作地点：
Beijing, Beijing, China
面试建议：
Apple的机器学习工程师（视频生成方向）职位是一个高度专业化的角色，要求候选人在视频生成技术和多模态基础模型方面有深厚的专业知识。这个职位不仅需要扎实的学术背景，还需要有实际的生产环境经验，特别是在处理大规模数据集和分布式系统方面。面试官很可能会重点考察你在视频生成管道、多模态LLM训练或数据为中心的AI工作流程中的实践经验，以及你如何将这些技术应用到实际产品中。 为了准备这个面试，建议你重点准备以下几个方面：首先，确保你对视频生成技术和多模态基础模型有深入的理解，并能举例说明你在这些领域的具体贡献。其次，准备好讨论你在大规模数据处理和分布式系统方面的经验，特别是如何优化数据加载和处理流程以提高效率和可靠性。最后，强调你的团队合作和沟通能力，因为Apple非常看重跨职能团队的合作。通过这些准备，你将能够更好地展示你的专业能力和适应Apple文化的潜力。
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