AIML - Senior Machine Learning Engineer, Data and Evaluation for Responsible AI

Key Skills

Aartificial intelligence, Computer Vision (CV), Data science techniques, Data Visualization, Large Language Models - LLMs, Machine learning techniques, Pandas

Job 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 ML-based enhancements to red teaming, model evaluation, and other processes to improve the quality of Apple Intelligence’s user-facing products

• Build and prototype analysis pipelines iteratively to provide insights at a large-scale

• Identify data needs and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods

• Coordinate project development, safety evaluation, and mitigation implementation timelines and execution with cross-functional collaborators

• Distill project findings into recommendations for product engineering teams and safety policy development

• Work with highly-sensitive content with exposure to offensive and controversial content

Minimum Qualifications

• 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
• Strong skills for rigorous model quality metrics development; interpretation of experiments and evaluations; and presentation to executives
• MS, or PhD in Computer Science, Linguistics, Computer Vision, or a similar science or technology field with a strong basis in scientific data collection, or BA/BS with 4+ years of relevant work experience

Preferred Qualifications

• Experience working in the Responsible AI space
• 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
• Experience working with large language or image datasets, “dirty” data, and/or crowd-sourced data; experience resolving conflicts in annotated data and working with annotators
• Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable

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 $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.