Camera Data Quality Analyst - ML Data Ops, ISE

About the position

We are the ML Data Ops Team within the software engineering organization at Apple. We are responsible for building high-quality ML datasets at scale, used to train ML models that power AI-centric features for many Apple products (iPhone, iPad, Mac, Apple Watch, and even AirPods). Such features go from the smart wallpaper on your iPhone Lock Screen to the models that highlight the faces of your loved ones in your Photos app to input experiences (e.g., autocorrect, next-word prediction, handwriting recognition). We are looking for a Quality Analyst who demonstrates exceptional attention to detail and a deep focus on quality. Someone passionate about Apple products and values, who loves collaborating and working with data ops at scale, and who is committed to the hard work necessary to improve data quality for our R&D partners continuously.

Responsibilities

• Review and verify that all datasets supplied to R&D are complete, accurate, and consistent.
• Set up workflows and examine assets and labels of incoming datasets.
• Ensure that any data delivered to R&D meets Apple's rigorous quality standards.
• Work in a fast-paced, dynamic, technology-focused environment leveraging generative AI technologies.
• Review the Annotation Analyst evaluations and become the subject matter expert in your camera domain.
• Lead training for the annotators and provide quality feedback to the QA project managers.
• Track and report trends using analytical skills.
• Collaborate with team members and share ideas for business improvements.

Requirements

• Bachelor's degree in Photography, Business, Statistics, Computer Science, or equivalent practical experience.
• 2+ years of experience with photo editing software and understanding of cameras and photography.
• Excellent written and verbal communication skills.
• Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done.

Nice-to-haves

• Data analytics experience with the ability to track, analyze, and provide accurate reporting for stakeholders.
• Expertise in Excel/Numbers for data analytics, including pivot tables and vlookup commands.
• Fluency in additional languages.
• Expertise in Python, or another modern programming language.
• Expertise in prompt engineering and leveraging LLMs in your work.
• Proven experience mentoring and/or growing team members.
• Proficient in problem-solving and critical thinking, with a focus on innovation and continuous optimization.
• 2+ years experience as a Quality Analyst with exposure to data annotation, and/or data collection quality evaluation.
• Project management experience conducting root cause analysis and performing deep dives into quality issues.
• Ability to implement corrective and preventive actions, effective time management, and auditing projects.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses - including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.
• Eligibility for discretionary restricted stock unit awards.
• Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan.
• Potential for discretionary bonuses or commission payments.
• Relocation assistance.