AIML - ML Data Scientist, Safety & Red Teaming

Key Skills

Aartificial intelligence, Data science techniques, Machine learning techniques, Python Programming, R Programming, Scala Programming, SPARK Programming, SQL

Job Description

Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user facing products

• Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed

• Conduct analyses that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations

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

• Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development

• Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work

Minimum Qualifications

• Strong programming skills: Including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
• Proficiency in data science, machine learning, and analytics: Including statistical data analysis and A/B testing. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
• Experience articulating and answering business questions by applying statistical techniques to available data sources
• Experience collecting and analyzing crowd-sourced data, language data, image data, and/or multi-modal data
• Strong interpersonal skills: Proven ability to explain difficult technical topics (esp. causal topics) to everyone from data scientists to engineers to business partners
• Work with highly-sensitive content with exposure to offensive and controversial content

Preferred Qualifications

• Experience working in the Responsible AI space
• Experience dealing with highly multi-labeled, nuanced, and often conflicting data sources
• Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements
• History driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to cut through ambiguity and know when to dive deep
• Advanced degree or equivalent experience in a quantitative field such as Statistics, Operations Research, Bioinformatics, Cognitive Science, Economics, Linguistics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar field
• 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