Machine Learning Data Engineer

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add something.

We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on this role you will transform ambiguous data challenges into scalable processes clear policies and high-fidelity datasets that power diverse ML use cases specifically focused on innovative consumer products and user-facing will act as the crucial link between technical tools and infrastructure cross-functional engineering teams and regulatory compliance (including privacy legal and consumer data protection). If your passion is making sense of complex data designing data evaluation frameworks and leading initiatives to maximize model ROI through rigorous data quality we want you on our team.

Drive ML Data Quality u0026 Validation: Lead the continuous quality management of ML datasets with a specific focus on human-generated data. Design and execute rigorous dataset validation processes incorporating real-time feedback loops to immediately identify flag and resolve quality issues before they impact model Policy to Scalable Processes: Develop sophisticated data processes and policies for complex consumer product domains driven by innovative technology. Convert ambiguous data quality problems and legal/regulatory constraints into precise scalable workflows and data guidelines for user-facing features and edge Data Evals u0026 Metrics: Design and implement robust data evaluation frameworks. Identify key data-centric drivers of model performance and define the metrics that rigorously track data quality consistency and integrity at the granular Privacy Legal u0026 Regulatory Compliance: Act as a steward of data integrity. Integrate privacy requirements legal data quality standards and consumer protection regulations directly into the data workflows and -Functional Leadership: Serve as a bridge between technical and non-technical audiences. Produce compelling analytical write-ups dashboards and data visualizations to convey insights advocate for data strategy and align engineering stakeholders.

BS in Computer Science Data Engineering Data Science Mathematics or a related field; or equivalent industry in data analysis data engineering and machine learning data designing data quality control processes data curation workflows or Human-in-the-Loop managing or coordinating cross-functional projects spanning multiple technical teams or organizations leading end-to-end data strategy for ML development lifecycle including iterating rapidly to drive improvements.

10 years of experience in data analysis or ML data operations including identifying trends generating summary statistics and drawing insights from quantitative and qualitative operating within global data privacy frameworks (e.g. GDPR CCPA) and aligning consumer ML data handling with legal compliance and ethical background in leading complex cross-functional programs focused specifically on ML data quality at with prompt engineering machine learning tools and fine-tuning Large Language Models (LLMs).nDemonstrated ability to consult with diverse engineering stakeholders to gather requirements explain complex models and iterate rapidly to drive written and verbal communication skills with a specialized ability to distill highly technical analyses to non-technical audiences problem-solving skills adaptability and agility to navigate high ambiguity learn proprietary tools quickly and thrive in a fast-paced environment.