Research Scientist Intern, GenAI Safety (PhD)

Meta; Menlo Park, San Francisco (CA, CA); Vor Ort; USD 34.000 - 76.000; Vollzeit

Zusammenfassung

Meta is seeking Research Interns for Generative AI efforts, offering 12 to 24 weeks of hands-on research with potential to publish and contribute at scale. Interns will explore deep learning, computer vision, audio and speech processing, NLP, RL, and applied mathematics, with start dates throughout the year.

Requirements include currently pursuing a Ph.D. in a relevant field, work authorization, research experience in ML/DL/CV/NLP, and proficiency with Python and ML frameworks such as PyTorch or

Qualifikationen

• Currently pursuing a Ph.D. in computer science, computer vision, AI or related field.
• Must have work authorization to be employed in the country of hire.
• Research experience in ML/DL/CV/NLP.
• Proficient in Python, C++, C or Java.
• Experience with PyTorch or TensorFlow.
• Intent to return to degree program after internship.
• Publications or grants, patents, or first-authored work in top venues.
• Experience collaborating across teams.

Kenntnisse

Deep learning

Computer vision

NLP

Reinforcement learning

Applied mathematics

Statistics

Data science

Cross-functional communication

Ausbildung

PhD in CS/AI

Tools

Python

C++

C

Java

PyTorch

TensorFlow

Jobbeschreibung

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

Meta is seeking Research Interns to join our Generative AI efforts. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, 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
• Intent to return to the degree program after the completion of the internship/co-op
• Direct experience in privacy/ safety related research
• 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, ACL, EMNLP, NAACL, IEEE S&P, CCS, 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
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)