Data Collections Lead - SIML, ISE

Key Skills

Aartificial intelligence, Agile methodologies, Annotation, Data science techniques, Leadership Skill, Machine learning techniques, Operations, Planning and organization

Job Description

Key Qualifications

• Excellent project management, communication, interpersonal, analytical, and organizational skills
• Passion for creating great products and understanding the challenges associated with building datasets for machine learning features; while addressing the challenges of inclusion, bias removal, and fairness.
• Ability to define/design/develop data collection efforts that focus on the end-to-end user experience, including anticipating potential failure modes, edge cases, and anomalies
• Capacity to multitask and manage several projects in parallel while meeting deadlines and providing access to clients and partners
• Problem solving & critical thinking capacities, with an eye for innovation and continuous optimization (improving the diversity and quality of assets, reducing time to delivery and cost)
• Ability to understand data needs and define concrete project deliverables

Description

Our SIML Data team focuses on data acquisition, data science, annotation, data QA and robustness analysis. We utilize generative AI tools to help generate and evaluate data. Each year, we power dozens of features and work closely with ML teams across the entire company. Apple's commitment to deliver incredible experiences to a global and diverse set of users with a full respect of their privacy leads our team to explore innovative data collection processes. In this position, you will be responsible for leading and managing data collection projects end-to-end and ensuring the quality of the data delivered to R&D. What will fill your days: • Connect with R&D teams to understand expectations and define specs of data collection efforts, with a constant focus on fairness and on potential biases • Co-define a data collection workflow with the partners, in accordance with Apple values • Coordinate the efforts of internal teams (privacy, legal, procurement, security) and own the administrative setup • Lead the data collection project, including working with internal and external teams • Define and dynamically adapt the data collection methodology to foster efficient quality analysis and annotation • Track quantities and quality delivered

Education & Experience

Bachelors degree, or equivalent practical experience.

Additional Requirements

• A strong understanding of applied machine learning concepts is desired
• Formal or informal experience working with generative AI tools (including personal projects) is desired
• Experience in data operations supporting R&D work related to generative AI is a strong plus
• Ability to maintain and develop relationships with multi-functional teams

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 $107,500 and $223,500, 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.