AIML - Quality Engineering Manager, Data Operations

Apple; Cupertino (CA); On-site; USD 173,000 - 261,000; Full time

Job summary

An established industry player is on the lookout for a Quality Engineering Manager to lead a dedicated team ensuring the highest quality of data for machine learning models. This pivotal role will involve shaping processes and standards, driving operational excellence, and collaborating across functions to enhance data quality. The ideal candidate will possess exceptional leadership skills and a strong analytical mindset, enabling data-driven decisions that significantly impact model performance. Join this innovative firm to make a tangible difference in the world of AI and machine learning.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Discounted products

Educational reimbursement

Employee stock purchase plan

Qualifications

• 7+ years in data quality or quality engineering, including 2+ years in management.
• Strong analytical skills and knowledge of data quality best practices.

Responsibilities

• Lead a team of Quality Engineers to ensure data quality for machine learning.
• Collaborate with multi-functional teams to drive process improvements.

Skills

Leadership

Data Quality Management

Analytical Skills

Problem-Solving

Communication

Education

Bachelor's Degree

Master's Degree

Tools

Python

SQL

Job description

AIML - Quality Engineering Manager, Data Operations

**Cupertino, California, United States**

**Machine Learning and AI**

**Summary**

Posted: **May 05, 2025**

Weekly Hours: **40**

Role Number: **200602201**

We are seeking a Quality Engineering Manager to lead and guide a team focused on ensuring the quality of data used for training and evaluating machine learning models. This role is critical in shaping the processes, tools, and standards that underpin high-quality training data. It combines data analysis, technical mentorship, and operational execution to strengthen our quality assurance systems and drive impact at scale. The ideal candidate is comfortable navigating complexity, collaborating multi-functionally, and making data-driven decisions that directly influence model performance.

**Description**

Manage and support a team of Quality Engineers responsible for QA strategy, tooling, and implementation across annotation workflows. Define and refine scalable processes and metrics to assess the quality, consistency, and relevance of labeled data. Partner with Engineering teams to build automated validation logic for detecting inconsistencies and data anomalies. Collaborate with Data Scientists and ML Engineers to analyze how data quality impacts model behavior and identify opportunities for data improvement. Lead multi-functional alignment on annotation QA standards and ensure feedback loops between quality, guidelines, and tooling. Own and evolve golden set evaluations, consensus grading protocols, and annotator quality tracking mechanisms. Conduct root cause analyses on quality issues and drive corrective actions in collaboration with upstream teams. Stay ahead of QA and data quality best practices, and drive continuous improvement in tools and methodologies.

**Minimum Qualifications**

+ 7+ years of experience in data quality, quality engineering, or a related field, including 2+ years in a management or leadership role.

+ Extraordinary leadership, communication, and organizational skills.

+ Meticulous, strong analytical and problem-solving skills

+ Knowledge of data quality concepts, challenges, and best practices

+ Proven track record of driving process improvements and managing multi-functional initiatives.

**Preferred Qualifications**

+ Experience with AI/ML/LLM. Familiarity with ML model development cycles and the role of human-labeled data in training and evaluation.

+ Experience with large-scale data operations or data-centric ML infrastructure.

+ Knowledge of data quality standards, frameworks, and governance best practices.

+ Experience designing and implementing automated QA checks and quality monitoring systems.

+ Strong data analysis skills; experience with scripting languages (e.g., Python) and data tools (e.g., SQL).

**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 $173,100 and $260,400, 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. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.