Research Scientist Intern, AI / ML, Core Ads Growth (PhD)

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta's research in Artificial Intelligence, Distributed Computing, and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.As a PhD intern at Meta, you will help build machine learning systems and models behind Meta's products,
create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe.As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year., 1. Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
2. Suggest, collect and synthesize requirements and create effective feature roadmaps.
3. Code deliverables in tandem with the engineering team.
4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

5. Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field
6. Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
7. Experience in systems software or algorithms
8. Experience coding in Python, C/C++
9. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:
10. Intent to return to degree-program after the completion of the internship/co-op
11. Demonstrated software engineer experience via an internship, work experience, coding competitions, or open-source code contributions
12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences or journals
13. Demonstrated creativity and quick problem solving capabilities
14. Experience with large-scale data analysis and processing
15. Interpersonal experience: cross-group and cross-culture collaboration