Apple · Seattle

AIML - ML Engineer, Safety Human Evaluation

(f/m/d) · 5/22/2025

Description

Apple Intelligence is powered by thoughtful data sampling, creation, and curation; high quality, detailed annotations; and application of these data to evaluate and mitigate safety concerns of new generative AI features. This role heavily draws on applied data science, scientific investigation and interpretation, cross-functional communication and collaboration, and metrics reporting and presentation to stakeholders & decision-makers. Responsibilities include: - Develop metrics for evaluation of safety and fairness risks inherent to generative models and Gen-AI features - Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods - Develop sampling strategies and combine human annotation with auto-grading to deliver high-quality, high-confidence insights at a fast pace and large scale - Use and implement data pipelines, and collaborate cross-functionally to execute end-to-end safety evaluations - Distill project findings into recommendations for product engineering teams and safety policy development - Develop ML-based enhancements to red teaming, model evaluation, and other processes to improve the quality of Apple Intelligence’s user-facing products - Work with highly-sensitive content with exposure to offensive and controversial content

Qualifications

  • MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis + at least 4 years of relevant work experience, or BA/BS with 8+ years of relevant work experience
  • Experience gathering and analyzing language data, image data, and/or multi-modal data, including LLM-generated data
  • Strong experience designing human annotation projects, writing guidelines, and dealing with highly multi-labeled, nuanced, and often conflicting data
  • Proficiency in data science, machine learning, analytics, and programming with Python & Pandas; strong experience with one or more plotting & visualization libraries
  • Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, and communicate with all levels of team members as well as external stakeholders
  • Strong skills for rigorous model quality metrics development; interpretation of experiments and evaluations; and presentation to executives

Preferred Qualifications

  • Experience working in the Responsible AI space
  • Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
  • Prior scientific research and publication experience
  • Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures
  • Proven track record of contributing to diverse teams in a collaborative environment
  • A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills

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 $166,600 and $296,300, 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.

Application

View listing at origin and apply!
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