Research Scientist Intern PhD, Applied Research

Key Skills

Aartificial intelligence, C Programming, C++, Computer Vision (CV), Deep Learning, Java Programming, Large Language Models - LLMs, Machine learning techniques, NeurIPS, Python Programming, PyTorch, TensorFlow

Job Description

Research Scientist Intern PhD, Applied Research Responsibilities

• Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
• Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
• Perform research to advance the science and technology of intelligent machines
• 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 Meta product development

Minimum Qualifications

• 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

Preferred Qualifications

• 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 NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, 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
• Experience with explainable AI methods and topics around LLM safety alignment
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $7,650/month to $12,134/month + 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.