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Meta is seeking AI Research Scientists to join fundamental and applied research teams, which are focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, generative models, reinforcement learning, computer perception, natural language processing and speech. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.
Research Scientist, Generative Models (PhD) Responsibilities
Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines.
Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Drive team goals & technical direction to pursue opportunities that make your larger organization more efficient.
Influence progress of relevant research communities by producing publications.
Contribute research that can be applied to Meta product development.
Devise better data-driven models of human behavior.

TeamUp is building a big-data SW intelligence platform that turns data generated throughout the SW development lifecycle (code, user stories, pipelines, scanning tools) into insights and optimization tools to help 1000+ R&D teams in AT&T continuously improve while developing products for dozens of millions of customers to use.

The other domain focuses on AT&T Security Platform, which helps engineering leaders and managers to prepare for the post-quantum era. This security big-data software platform will conduct daily security scans on thousands of applications and tools, providing actionable insights and defining the next steps to ensure robust security in a post-quantum world.

We are seeking an experienced Data Engineer to join our dynamic research team.

This role provides the unique opportunity to manage the entire data lifecycle, from extraction to visualization using external tools. You will also employ data science methodologies to analyze, classify, and explore data. This position offers a rare chance to delve deeply into both data engineering and data science.

Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools.
Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions.
Utilize various Machine Learning models to explore data, collaborating with cutting-edge big data tools and techniques.
Collaborate with R&D, architects, data scientists, analysts, Projects Managers and DevOps in order to deliver the right solution