AI Research Scientist, CoreML – GenAI Evaluations Full-time

AI Research Scientist, CoreML – GenAI Evaluations

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Menlo Park, CA • New York, NY

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We are looking to hire an experienced Research Scientist to help us measure capabilities of GenAI models. The ideal candidate is knowledgeable about how to use evaluations and datasets to allow us to evaluate our models across different text and multimodal capabilities. This involves researching existing benchmarks available as well as coming up with novel approaches to evaluate our GenAI models.

AI Research Scientist, CoreML – GenAI Evaluations Responsibilities

• Design and implement methods to evaluate our LLMs on different capabilities.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Work with a large and globally distributed team across multiple functions to understand the the needs and align on goals and outcomes.
• Contribute to publications and open-sourcing efforts.
• Play a significant role in healthy cross-functional collaboration.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD in Computer Science, Computer Engineering, relevant technical field
• 3+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in machine learning, deep learning, and/or natural language processing.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Exposure to architectural patterns of large scale software applications.
• Direct experience in building evals for generative AI and LLM research
• Domain-Relevant Research Publications accepted at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

Preferred Qualifications

• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience in developing and debugging in Python.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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$143,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.