A

Apple

Designs phones, computers and their operating systems

Staff Applied Research and ML - Responsible AI and Safety

AI ResearchConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A PhD or equivalent experience in Computer Science or a related technical field is helpful.
  • Demonstrated expertise in machine learning research and/or the machine learning production deployment lifecycle.
  • Deep understanding of large language models.
  • Hands-on experience working with deep learning toolkits such as TensorFlow or PyTorch.
  • Ability to formulate a research problem, design and conduct experiments, implement solutions, and communicate them effectively.
  • Ability to work in a diverse collaborative environment.

Responsibilities

  • Research and advance red teaming methods for large language models and diffusion models.
  • Research and develop mitigations and safeguards to ensure the safe deployment of large language models in Apple products.
  • Develop tools, metrics, and datasets for assessing and evaluating the safety of large language models over the model deployment lifecycle, as well as methods and tools to help interpret and explain failures in language models.

Desired Qualifications

  • A publication record in relevant conferences such as NeurIPS, ICML, ICLR, and EMNLP.
  • Experience working on Responsible AI and AI Safety.

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size
10,001+
Company stage
IPO
Headquarters
Cupertino, CA
Founded
1976

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