AIML - ML Engineer, Safety Human Evaluation

Apple • Cambridge, MA

76d

About The Position

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.

Requirements

• 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

Responsibilities

• 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

What This Job Offers

• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees