- Escritório em Cupertino
Role Number: 200664791-0836
Summary
Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
Description
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design, automate, and optimize AI deployment pipelines for large-scale model serving using python and internal tools. Implement end-to-end data quality monitoring, validation, and anomaly detection for AI systems using python and internal tools. Develop comprehensive testing, benchmarking, and continuous evaluation frameworks for AI models using python and internal tools. Collaborate with machine learning engineers and infrastructure teams to integrate and optimize AI models in production using python and internal tools. Generate and automate data labeling pipelines using LLMs for large-scale AI datasets including python and internal tools. 40 hours/week. 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 $181,100 - $272,100/yr and your base pay will depend on your skills, qualifications, experience, and location.
PAY & BENEFITS: 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.
Minimum Qualifications
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Bachelor's Degree or foreign equivalent in Cognitive Science, Computer Science or Machine Learning or related field and 4 years of experience in the job offered or related occupation.
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4 years of experience with each of the following skills is required:
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Implementing and develop metrics and add them to the monitoring pipelines to be used for quality measurement and monitoring
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Utilizing designing, automating, and optimizing data ingestion, transformation experience, validation, and quality assurance workflows at scale to manage training and evaluation data.
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Integrating AI models into production, and monitoring performance for latency, drift, and reliability.
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Setting up CI/CD pipelines for deploying AI-driven applications, automating data and model versioning, and managing reproducibility.
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Utilizing semi-supervised learning, human-in-the-loop data labeling, and synthetic data generation using LLMs to scale annotation efforts.
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Developing and maintaining software tooling in Python for data processing, management, and automation
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Communicating risks and insights related to model quality and data pipeline performance to technical and non-technical stakeholders, including leadership teams.
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Applying strong software engineering principles, including code testability, automation, metric-driven development, and adaptability to new technologies through documentation code reviews, design patterns, and proven architectural frameworks
Preferred Qualifications
- N/A
