AIML - ML Engineer, Safety Human Evaluation

AIML - ML Engineer, Safety Human Evaluation

Join Us in Shaping the Future of Generative AI at Apple! Would you like to play a part in building the next generation of generative AI applications at Apple? We are looking for Machine Learning 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 Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models.

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

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 $162,500 and $286,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

Apple accepts applications to this posting on an ongoing basis.