AIML - Sr Quality Program Manager, Data Operations

Apple; Cupertino (CA); On-site; USD 165,000 - 294,000; Full time

Job summary

An established industry player is seeking a Senior Quality Program Manager for Data Operations. This pivotal role involves orchestrating initiatives to ensure the highest level of data quality for AIML training. You will collaborate with engineers and data scientists to develop tools and processes that enhance data accuracy and reliability. Your strategic insights will directly impact the performance of AIML models, making this an exciting opportunity for those passionate about data quality management. Join a dynamic team where your contributions will help shape the future of innovative technologies.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock programs

Education reimbursement

Discounted products and services

Discretionary bonuses

Qualifications

• 5+ years of experience in data quality management.
• Solid understanding of quality assurance methodologies and machine learning principles.

Responsibilities

• Design and supervise processes to assess data quality for AIML model training.
• Collaborate with teams to develop automated checks for data inconsistencies.

Skills

Data Quality Management

Project Management

Analytical Skills

Problem-Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Python

R

Job description

AIML - Sr Quality Program Manager, Data Operations

Cupertino, California, United States Machine Learning and AI

Summary

Posted: Jan 30, 2025

Weekly Hours: 40

Role Number: 200588613

Imagine, what you could do here? At Apple extraordinary ideas have a way of becoming great products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Description

As a Senior Engineering Program Manager, you will orchestrate initiatives to ensure the highest level of data quality for our AIML training. You will collaborate closely with Engineers, Data Scientists, and Machine Learning Engineers to develop, implement, and maintain tools and processes that evaluate and improve the quality of our data. Your insights and strategies will directly influence the accuracy and reliability of our AIML models. You will be responsible for the following:

1. Design, develop, and supervise the implementation of processes and tools to assess the quality of data used in AIML model training. Build metrics and KPIs to evaluate data accuracy, consistency, and relevance.
2. Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data.
3. Lead the integration of quality processes into existing data pipelines.
4. Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
5. Provide feedback and ensure alignment of data quality with annotation guidelines.
6. Engage with Machine Learning Engineers to determine how data quality variations influence AIML model performance.
7. Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis.
8. Stay on top of the latest trends and advancements in data quality management.
9. Recommend and implement improvements to our quality processes, tools, and methodologies based on industry best practices.

This is a highly reciprocal position that requires working with Engineering, Quality, Training and Production Ops to deliver world-class solutions. And most of all, you are able to manage and lead change effectively while maintaining Apple culture and standards. Interpersonal skills and technical product knowledge and expertise are essential for this role. Applicants should thrive in dynamic, fast paced situations and welcome critical-thinking opportunities.

Minimum Qualifications

1. Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
2. 5+ years of experience in data quality management.
3. Solid understanding of quality assurance methodologies and machine learning principles, especially in the context of NLP and LLMs.
4. Demonstrated experience in project management and cross-functional collaboration.
5. Outstanding analytical, problem-solving, and organizational skills.
6. Solid ability to think strategically about business, product, and technical challenges.
7. Work independently, prioritize tasks, and manage multiple projects simultaneously in a fast-paced environment.
8. Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.

Preferred Qualifications

1. Master's degree or higher in Computer Science, Data Science, Engineering, or related field.
2. Proficiency in scripting or programming languages commonly used in data analysis (e.g., Python, R).

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 $165,500 and $293,800, 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.

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 take affirmative action to ensure 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.