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

Meta -
London

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Job details

Internship

Qualifications

Data mining
Doctoral degree
Computer Science
Computer vision
Machine learning modelling
Distributed systems
Deep learning
Natural language processing
Software development
Technical roadmaps
AI
Requirements gathering

Full job description

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.

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

Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
Suggest, collect and synthesize requirements and create effective feature roadmaps.
Code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:

Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field
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
Experience in systems software or algorithms
Experience coding in Python, C/C++
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

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

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.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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