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Apple Software Development Engineer - Systems United States, California, Cupertino 947631013
Yesterday
This position focuses on leading a team dedicated to ML Data Operations (collection and annotation), to support R&D efforts within the Software Organization. This requires to:- Lead Data OPs strategy to support client organization, targeting excellence of data operations (scalability, time to delivery, quality and cost efficiency of annotations), in a context of growing and evolving data needs (types of assets, nature of labels, skills required). Assess, secure and monitor resources required to ensure success - Drive or promote enhancements of data operations across features supported (increase diversity & quality, reduce cost & lead time), through innovative workflows that combine human and machine computation (using new capabilities of ML & foundation models)- Promote sharing and re-usability of data across the org and beyond, in particular by setting standard processes in terms of documentation and ease of use of ML Data projects
- Bachelor degree in Computer Science/Computer Engineering, Mathematics, Physics, or equivalent experience
- 2+ years of management experience
- 2+ years of experience in ML Data Operations or ML R&D
- Familiarity with pioneering ML techniques, including generative technologies (transformer architecture, CLIP and other visual and text embedding models, diffusion models)
- Excellent problem-solving and program/project management skills
- Strong communication and social skills
- Demonstrated capacity to build solid relationships across organizations and functions (R&D, privacy and legal, tools & infrastructure...)
- Ability to consistently innovate with technical tools, processes and partnerships (internal or external) that improve value across data lifecycle
- Demonstrated ability to handle complex and large scale data ops projects (annotation, collection or QA) is a plus
- Expertise is identifying erroneous, fraudulent or low quality data is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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