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Meta · 2 days ago

Research Scientist Intern, AI Core Machine Learning (PhD)

United States

Internship

Remote

Intern

$7,650/mo - $12,134/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies. They are seeking an intern to develop novel machine learning algorithms and improve existing systems while collaborating with researchers and cross-functional partners.

Computer Software

Comp. & Benefits

Responsibilities

Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques

Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms

Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence

Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)

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

Contribute to research that can be applied to Meta product development

Qualification

Machine LearningDeep LearningPythonReinforcement LearningComputer VisionNatural Language ProcessingC++TensorFlowPyTorchAnalytical Problem SolvingSoftware EngineeringTeam Collaboration

Required

Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field

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

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

Experience with deep learning frameworks such as Pytorch or Tensorflow

Experience building systems based on machine learning and/or deep learning methods

Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar

Preferred

Intent to return to 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 NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar

Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches

ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio

Experience building systems based on machine learning, reinforcement learning and/or deep learning methods

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

Experience working and communicating cross functionally in a team environment