Safety Engineer

3 days ago

Cambridge, Cambridgeshire, United Kingdom Apple Inc. Full time
AI Annotation Engineer, Red Teaming & Safety Evaluation

We're seeking a highly skilled AI Annotation Engineer to join our team at Apple Inc. as part of our Responsible AI group. In this role, you'll play a critical part in assessing, quantifying, and improving the safety and inclusivity of Apple's generative-AI powered features and products.

About the Role

This is an exciting opportunity to work on ambitious projects that will impact the future of Apple, our products, and the broader world. As an AI Annotation Engineer, you'll have the chance to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications.

Key Responsibilities

  1. Develop and implement red teaming and grading project strategies, interfaces, and guidelines in consultation with data scientists and product engineering teams.
  2. Relay and interpret project guidelines and instructions for red teamers.
  3. Prioritize and schedule projects to align with organizational goals and timelines.
  4. Serve as an interface for feedback and questions from red teamers back to data scientists, project managers, and product development engineers.
  5. Monitor and manage aggregate and individual red teamer performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement.
  6. Work with data scientists and red teaming engineers to distill findings into recommendations for product engineering teams and safety policy development.
  7. Research, develop, and apply conventional and ML-based enhancements to red teaming and grading methodologies to improve efficiency and quality.

Requirements

  • Prior experience in linguistic and/or computer vision annotation tasks including: Named-entity recognition, part-of-speech tagging, text parsing (constituency, dependency, or application-specific), image scene classification, image segmentation, 3D object reconstruction, and image captioning.
  • Scripting skills and spreadsheet proficiency as applied to data management; basic Python, common command line tools, and spreadsheet skills for data aggregation and statistics calculations.
  • Project management expertise: Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, communicate with all levels of engineers, in-house annotators, and remote/crowd-workers.
  • Work with highly-sensitive content with exposure to offensive and controversial content.

Preferred Qualifications

  • MS, or PhD in Linguistics, Computer Vision, or a similar field with a strong basis in scientific data collection; and 2+ years experience as an annotator/red teamer, annotation/red teaming project lead/manager, or ontologist.
  • Prior teaching experience.
  • Prior scientific research and publication experience.
  • Strong understanding of English language (linguistics, syntax, grammar) and its applications to Natural Language Processing.
  • Experience working on crowd-based annotation and/or grading projects.
  • Experience developing, implementing, and communicating a sophisticated ontology or taxonomy system.
  • Experience working with generative models (LLMs, diffusion models, etc) for evaluation, product development, and/or as a work productivity aide, and up-to-date knowledge of the kinds of issues that can occur.
  • Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.
  • Curiosity about tech and the way in which things can go wrong.

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. Learn more about your EEO rights as an applicant.

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