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AIML - Sr Quality Program Manager, Data Operations

Santa Clara Valley (Cupertino),California,United States

Machine Learning and AI

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Summary

Posted:Nov 13, 2023

Weekly Hours: 40

Role Number: 200518204

Imagine what you could do here. At Apple phenomenal 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.

Key Qualifications

• 7+ years of design/test/implementation/consulting experience in data quality management for machine learning model training.

• Strong understanding of machine learning principles, especially in the context of NLP and LLMs.

• Fundamental knowledge in relevant programming languages and tools (e.g., Python, SQL).

• Demonstrated experience in project management and cross-functional collaboration.

• Exceptional analytical, problem-solving, and organizational skills.

• Proven ability to think strategically about business, product, and technical challenges.

• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.

Description

As a Senior Eng Program Manager, you will spearhead initiatives to ensure the highest level of data quality for our Large Language Model (LLM) training. You will collaborate closely with Engineers, Data Scientists, and Machine Learning Engineers to develop, implement, and maintain tools and processes that evaluate and enhance the quality of our data. Your insights and strategies will directly influence the accuracy and reliability of our LLMs. You will we responsible for the following: Design, develop, and oversee the implementation of processes and tools to assess the quality of data used in LLM model training. Create metrics and KPIs to evaluate data accuracy, consistency, and relevance. Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data. Lead the integration of quality processes into existing data pipelines. Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement. Provide feedback loops and ensure alignment of data quality with annotation guidelines. Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance. Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis. Keep abreast of the latest trends and advancements in data quality management. Recommend and implement enhancements 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 premier solutions. And most of all, you are able to manage and lead change effectively while maintaining Apple culture and standards. Social skills and technical product knowledge and expertise are essential for this role. Applicants should thrive in dynamic, high-pressure situations and welcome critical-thinking opportunities.

Education & Experience

Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s preferred.

Additional Requirements

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 $160,700 and $282,500, 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 (https://www.apple.com/careers/us/benefits.html) 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.

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