AIML - Annotation Engineer, Red Teaming & Safety Evaluation - Apple

AIML - Annotation Engineer, Red Teaming & Safety Evaluation Seattle,Washington,United States Machine Learning and AI Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for ML Researchers, ML Data Scientists, and ML Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's generative-AI powered features and products. In this role you'll have the opportunity 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. As a member of the Apple HCMI/Responsible AI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models. **Description** Apple Intelligence is powered by high quality, detailed annotations in the specialized domains of linguistics and computer vision. This role is instrumental in coordinating and documenting data authoring, annotation, and grading projects with human authors/annotators ("red teamers"), data scientists, and machine learning engineers. Responsibilities include: - Developing red teaming and grading project strategies, interfaces, and guidelines in consultation with data scientists and product engineering teams - Relaying and interpreting project guidelines and instructions for red teamers - Prioritizing and scheduling projects to align with organizational goals and timelines - Serving as an interface for feedback and questions from red teamers back to data scientists, project managers, and product development engineers - Monitoring and managing aggregate and individual red teamer performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement - Working with data scientists and red teaming engineers to distill findings into recommendations for product engineering teams and safety policy development - Researching, developing, and applying conventional and ML-based enhancements to red teaming and grading methodologies to improve efficiency and quality **Minimum Qualifications** + 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 **Key Qualifications** **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 **Education & Experience** **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 $135,400 and $250,600, 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. + 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .