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Meta is seeking researchers to join its media research teams, which are leading advancements in image and video understanding and generation. These efforts are central to our mission and tackle some of the most critical research challenges of our time. Our work spans machine learning, computational statistics, and applied mathematics, with an emphasis on large-scale media understanding and generative models. We are looking for individuals who are passionate about pushing the boundaries of these fields developing technologies that allow machines to perceive, interpret, and generate rich, expressive media through both cutting-edge research and impactful real-world applications.
AI Research Engineer, Media Research Responsibilities
Researching, designing, implementing and improving machine learning systems
Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines
Clean machine learning code in Python, and laying the science behind the engineered systems.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build the next generation of products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Complete medium to large features (each with many tasks) independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

Meta is seeking researchers to join its media research teams, which are leading advancements in image and video understanding and generation. These efforts are central to our mission and tackle some of the most critical research challenges of our time. Our work spans machine learning, computational statistics, and applied mathematics, with an emphasis on large-scale media understanding and generative models. We are looking for individuals who are passionate about pushing the boundaries of these fields developing technologies that allow machines to perceive, interpret, and generate rich, expressive media through both cutting-edge research and impactful real-world applications.
AI Research Scientist, Media Research Responsibilities
Conducting research, developing novel approaches, and advancing the theory and application of machine learning methods
Prototyping and validating research ideas in Python, grounding experiments in data and evaluation scientific methodology
Collaborating on scientific research with a globally distributed team to push the boundaries of intelligent systems