Research Scientist, Ml Training Infra - Sunnyvale, United States - Meta

Description

Research Scientist, ML Training Infra Responsibilities:

Develop highly scalable and performant ML Infra.
Collaborate with Research Scientists on novel research in modeling and complex systems.
Mentor other team members. Arbitrate in cases of technical disagreement among team members. Play a significant role to have a healthy crossfunctional collaboration.

Minimum Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Currently has or is in the process of obtaining a PhD in the field of Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, or related technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Experience with research and building infra for Machine Learning.
Experience with Python, C++, Java, or other related languages.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

Experience solving analytical problems using quantitative approaches.
Experience manipulating and analyzing complex, highvolume, highdimensionality data from varying sources.
Experience with developing Machine Learning Infra at scale from inception to business impact.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) or similar.
Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in opensource repositories (e.g. GitHub).
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.

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.