Machine Learning Project Manager - SIML, ISE

Our SIML 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. Apple'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 Apple'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, diversity 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 operations Thoroughly scope projects, estimating timelines, cost, and identifying potential challenges in advance Coordinate data program across internal data functions (data engineering, data science, QA) and other partners Establish clear guidelines, and training material Collaborate with vendors to ensure tasks are calibrated appropriately; track and report on quantity and quality metrics Grow fast and positively impact multiple critical features on your first day at Apple! Key Qualifications You exhibit 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 inclusion 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 Education & Experience Bachelors degree in Computer Science, Mathematics, Physics, or a related field; or equivalent practical experience. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $55.00 and $83.03/hr, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. #J-18808-Ljbffr Apple