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Apple Machine Learning Engineer Video Generation China, Beijing, Beijing 470764957
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- 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.
- 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.
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