ML Data Program Manager

Job DescriptionJob Description

Position: ML Data Program Manager

Location: Cupertino, CA (Remote)

Duration: 12 Months

Pay Range: $75/hr to $80/hr (As per experience)

JOB SUMMARY

• Would you like to contribute to generative AI and transform how people interact with AI technologies? Do you believe Machine
• Learning and AI can change the world? We truly believe it can! We are the Machine Learning Operations Data Team, part of
• Intelligent System Experience (ISE) group within the software engineering organization. We are responsible for
• building high-quality ML datasets at scale, used to train ML models that power AI-centric features for many company’s products
• in your Photos app, and input experiences (e.g., autocorrect, next-word prediction, handwriting recognition) are all features
• our team has supported.
• We are looking for a talented individual to drive Data Programs supporting ML features, in close collaboration with our R&D
• partners, and to run the corresponding data projects end-to-end (collection & annotation).

KEY QUALIFICATIONS

• Exhibits excellent program/project management, communication, interpersonal, analytical, and organizational skills
• A talent for creating ML datasets focusing on end-to-end user experience by foreseeing issues, handling edge cases,
• and removing bias while ensuring and fairness
• Proficient in problem-solving and critical thinking, with a focus on innovation and continuous improvement
• Scripting skills (Python) to automate tasks, compute metrics and explore use of workflows combining ML and human
• inputs
• Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
• Capacity to multitask and manage multiple projects in parallel while meeting deadlines, and maintaining clear and
• effective communication with stakeholders

DESCRIPTION

• Our MLO Data team focuses on data acquisition, data synthesis, data science, annotation, and data QA. Each year, we power dozens of features and work closely with ML teams across the Software Organization.
• Company’s commitment to deliver incredible experiences to a global and diverse set of users in full respect of their privacy leads our team to explore innovative ways of collecting and annotating data.
• This role is responsible for overseeing the end-to-end process for our R&D partners machine learning data needs; from conceptualization to completion, and ensuring that the data delivered to R&D meets Company’s rigorous quality standards.

This includes:

• Collaborate with R&D partners to understand and define their data requirements from inception to delivery
• Design and implement ML Data Ops strategies optimized for each feature (collection and annotation), including the identification and sourcing or creation of necessary tooling, equipment or crowd
• Drive enhancements of data operations (increase scalability, and quality, reduce cost and lead time), through innovative workflows that combine human and machine computation (leveraging capabilities of ML and foundation models)
• Work closely with privacy, legal, procurement, and product security teams to identify and clear options considered for data operation

Benefits Info:
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with vendors.

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