AI Research Scientist, Computer Vision - GenAI Evaluations
Menlo Park, CA | New York, NY
Meta
Giving people the power to build community and bring the world closer together
We are looking to hire an experienced Research Scientist to help us measure multimodal capability of GenAI models. The ideal candidate is knowledgeable about how to use evaluations and datasets to allow us to evaluate our models for images and video. This involves researching existing benchmarks available as well as coming up with novel approaches to evaluate our GenAI models.AI Research Scientist, Computer Vision - GenAI Evaluations Responsibilities
$१,७७,०००/year to $२,५१,०००/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.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
- Design and implement methods to evaluate our LLMs on multimodal capabilities.
- Adapt standard eval 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 needs and align on goals and outcomes.
- Contribute to publications and open-sourcing efforts.
- Play a significant role in healthy cross-functional collaboration.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in Computer Science, Computer Engineering, relevant technical field
- 5+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in machine learning, vision and deep learning
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Exposure to architectural patterns of large scale software applications.
- Domain-Relevant Research Publications accepted at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Direct experience in building evals for generative AI and LLM research
$१,७७,०००/year to $२,५१,०००/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.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Job stats:
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Tags: Computer Science Computer Vision Deep Learning Engineering Generative AI GPU ICLR ICML LLMs Machine Learning NeurIPS PhD Physics Python PyTorch Research VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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