Meta
Fundamental Multimodal Research Scientist - Generative AI
Meta, New York, New York, us, 10261
Summary:
Meta is seeking a Research Scientist to join our Llama Applied Multimodal team. We are looking for recognized experts in generative AI, multimodal reasoning, NLP, with experience in areas like multimodal model training; data processing for pretraining and fine-tuning; LLM alignment; reinforcement learning for model tuning; efficient training and inference; image and video generation. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large multimodal models.
Required Skills:
Fundamental Multimodal Research Scientist - Generative AI Responsibilities:
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research
Work towards long-term ambitious research goals, while identifying intermediate milestones. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Mentor other team members. Play a significant role in healthy cross-functional collaboration
Prioritize research that can be applied to Meta's product development
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields
Experience writing software and executing complex experiments involving large AI models and datasets
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications: Preferred Qualifications: Direct experience in generative AI, computer vision and multimodal research.
First author publications experience at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL).
Public Compensation: $177,000/year to $251,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Work towards long-term ambitious research goals, while identifying intermediate milestones. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
Mentor other team members. Play a significant role in healthy cross-functional collaboration
Prioritize research that can be applied to Meta's product development
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in computer vision, machine learning, NLP, computer science, applied statistics, or other related fields
Experience writing software and executing complex experiments involving large AI models and datasets
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications: Preferred Qualifications: Direct experience in generative AI, computer vision and multimodal research.
First author publications experience at peer-reviewed AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, EMNLP, and ACL).
Public Compensation: $177,000/year to $251,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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