Camera Data Quality Analyst - ML Data Ops, ISE

Key Skills

Analytical and Problem solving, Data Analytics, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Python Programming

Job Description

As part of the ML Data Ops QA team, you’ll play a central role in enhancing Apple’s customer experience by reviewing and verifying that all datasets supplied to R&D are complete, accurate, and consistent. We are committed to data excellence, ensuring diversity, relevance, and integrity in our datasets to enable ML engineers to build AI solutions that are transformative, ethical, and impactful. Each year, we power dozens of features and work closely with ML teams across the entire company.

In this position, you’ll be accountable for setting up workflows and examining assets and labels of incoming datasets, ensuring that any data delivered to R&D meets Apple’s rigorous quality standards. You’ll work in a fast-paced, dynamic, technology-focused environment leveraging generative AI technologies to help evaluate data in partnership with a QA project manager. You’ll review the Annotation Analyst evaluations and become the subject matter expert in your camera domain. You’ll lead training for the annotators and provide quality feedback to the QA project managers overseeing the project. You’ll use your analytical skills to track and report trends. You’ll collaborate with team members and share ideas for business improvements.

At Apple, our individual backgrounds, perspectives, and passions help us build the ideas that move all of us forward. We’ll train you to be an expert in understanding, supporting, and improving the data quality experience.

Minimum Qualifications

• Bachelors 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, possessing the ability to work efficiently with members of other data functions and maintaining clear and effective communication with stakeholders.
• Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done.

Preferred Qualifications

• 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 is desired.
• Expertise in prompt engineering and leveraging LLMs in your work.
• Proven experience mentoring and/or growing team members, and establishing a robust collaborative culture.
• Proficient in problem-solving and critical thinking, with a focus on innovation and continuous optimization (improving the quality of labels, reducing time to delivery and cost).
• 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 to drive process improvement.
• Ability to implement corrective and preventive actions, effective time management, and auditing projects is desirable.

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 $30.35 and $49.10/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.