Applied Research Scientist, Computer Vision - New York, United States - Meta

Description

Applied Research Scientist, Computer Vision - MRS Responsibilities:

Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
Conduct research that enables learning the semantics of data (images, video, and their relationship to text, audio, speech and other modalities).
Carefully evaluate the performance of proposed models.
Collaborate on bringing the models from prototyping to production within a globallybased team.
Initiate and lead research projects within a team and collaborate with crossfunctional partners.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
A PhD degree in AI, computer science, data science, or related technical fields.
Research background in Computer Vision, Deep Learning, Machine Learning, or related field(s).
2+ years of Industry or academic research experience on cutting edge computer vision technologies
Experience in developing and debugging in Python or similar programming languages.
Experience in deep learning frameworks such as PyTorch or TensorFlow.
Experience in theoretical and empirical research and in addressing research problems.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or firstauthored publications at conferences such as CVPR, ECCV, ICCV, ICML, NeurIPS, SIGGRAPH, or similar.
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.
Experience in leading, planning and coordinating longterm researchtoproduction projects.

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.