AIML - ML Data Scientist, Safety & Red Teaming

$143,100 - $264,200/Yr

Apple - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Computer and Electronic Product Manufacturing

About the position

The role involves working as a data scientist and engineer within Apple's HCMI/Responsible AI group, focusing on the development of generative AI applications. The position emphasizes tackling innovative problems in machine learning, particularly large language models (LLMs), and contributing to the creation of evaluation methods to enhance the quality of Apple's user-facing products. The candidate will engage in research, data analysis, and collaboration with engineering teams to drive the development of generative models for vision and language, with a strong focus on safety, robustness, and uncertainty in AI models.

Responsibilities

• 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 using sophisticated analytical methods.
• Conduct analyses that include data gathering, 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.

Requirements

• Strong programming skills, including data-querying skills (SQL and/or Spark) and experience with a scripting language for data processing (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.
• Ability to articulate and answer 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 with the ability to explain difficult technical topics to various stakeholders.

Nice-to-haves

• Experience working in the Responsible AI space.
• Experience dealing with highly multi-labeled, nuanced, and often conflicting data sources.
• Ability to thrive in a fast-paced environment and adapt to new and changing requirements.
• History of driving projects of varying sizes and scopes, with the ability to navigate ambiguity.
• Advanced degree or equivalent experience in a quantitative field such as Statistics, Operations Research, or Computer Science.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.