Generative AI and ML Product Operations Analyst, Support Apps

Key Skills

Python Programming, Operations, SQL, Aartificial intelligence, Machine learning techniques, R Programming, Effective communication skills, Large Language Models - LLMs

Job Description

As an Analyst focused on Generative AI Product Operations, you will help deliver high quality features and customer experiences using the latest emerging AI and ML technology, partnering closely with product management, data science and engineering to understand the team’s goals, requirements, capabilities, and constraints in order to optimize for results. You will develop a solid understanding of the team’s existing technical implementations and operational processes, and use that knowledge, alongside data-driven insights, to create informed improvements to prompts, recommend updates for model training and fine tuning, and iterate on performance measurement and benchmarking processes.

In this role, you will be responsible for creating an operational framework to enable the storage, versioning, organization, deployment, and monitoring of prompts at scale, as well as a set of repeatable processes for evaluating the performance of a range of generative and ML solution implementations, including creating and tracking new KPIs. Collaboration, consensus building and thoughtful and efficient communication will all be critical skills required to succeed.

Minimum Qualifications

• Bachelors in Engineering or Computer Science or equivalent experience
• 6+ years of experience working on cross-functional software development projects involving machine learning systems
• Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs
• Experience with prompt management systems and LLM evaluation
• Project management skills including project structuring, process definition, and managing multiple work streams interdependently
• Ability to communicate abstract ideas clearly, and independently manage complex project objectives
• Ability to independently draft and present deliverables, recommendations, timelines and communication strategies

Preferred Qualifications

• Masters in Engineering or Computer Science or equivalent experience, MBA a plus
• Understanding of LLM fine-tuning and evaluation metrics (e.g., BLEU, ROUGE, F1-score)
• Knowledge of XAI (explainable AI) tools (e.g., SHAP, LIME).
• Knowledgable in SQL, R/Python
• Expert in the use of industry-standard data analysis and reporting tools including Tableau

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 $136,300 and $248,700, 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.