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Meta · 1 year ago

Research Scientist Intern, GenAI Llama Multimodal Data Research (PhD)

Menlo Park, CA

Internship

Onsite

Intern

$7,800/mo - $11,293/mo

Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking Research Interns to join their Generative AI efforts, focusing on advancing the science and technology of multimodal training data and modeling recipes.

Computer Software

Comp. & Benefits

No H1B

Responsibilities

Perform research to advance the science and technology of Llama multimodal training data and modeling recipes

Develop novel state-of-the-art multimodal generative AI data, algorithms and corresponding systems, leveraging various deep learning techniques

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Disseminate research results

Publish research results and contribute to research that can be applied to Llama models and Meta product development

Qualification

Machine LearningDeep LearningComputer VisionNatural Language ProcessingPythonC++CJavaPytorchTensorflowResearch experienceAnalytical problem solvingML experiments setupData manipulationTheoreticalEmpirical researchSoftware engineering experienceCross-functional collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, Generative AI, or relevant technical field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Research experience in machine learning, deep learning, computer vision and/or natural language processing

Experience with Python, C++, C, Java or other related languages

Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred

Intent to return to the degree program after the completion of the internship/co-op

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, AAAI, RecSys, KDD, IJCAI, ACL, NAACL, EACL, ICASSP, or similar

Experience working and communicating cross functionally in a team environment

Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science

Experience solving analytical problems using quantitative approaches

Experience setting up ML experiments and analyzing their results

Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Experience in utilizing theoretical and empirical research to solve problems

Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)