Junior Manager, ML Data Operations

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Job Summary:

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. They are looking for a dedicated manager to lead a group of Program Managers and Project Managers who drive ML data operations, focusing on building high-quality ML datasets at scale to support AI-centric features. The role involves managing a team, collaborating with R&D, and enhancing data operations to meet evolving data needs.

Responsibilities:

• 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

• Manage, mentor and grow a team of full time employees and contractors

• In collaboration with our Data Program Manager, establish robust processes to facilitate the expression of needs, as well as the efficient planning, tracking and reporting of Data Programs

• 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)

• Lead and develop relationship with customers (R&D), support teams (privacy, legal, procurement, security), internal partners (annotation platforms, other data annotation teams) and external parties

• 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

Qualifications:

Required:

• Bachelor degree in Computer Science/Computer Engineering, Mathematics, Physics, or equivalent experience

Preferred:

• 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

Company:

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, California, USA, with a team of 10001+ employees. The company is currently Public Company. Apple has a track record of offering H1B sponsorships.