Meta
Job title:
Research Scientist Intern, AI Core Machine Learning (PhD)
Company:
Meta
Job description
Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, AI Core Machine Learning (PhD) ResponsibilitiesDevelop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniquesAnalyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacyPerform state of the art research to advance the science and technology of Machine Learning and Artificial IntelligenceCollaborate with researchers and cross-functional partners including communicating research plans, progress, and resultsPublish research results and contribute to research that can be applied to Meta product developmentMinimum QualificationsCurrently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical fieldMust obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employmentExperience with Python, C++, C, Java or other related languagesExperience with deep learning frameworks such as Pytorch or TensorflowPreferred QualificationsIntent to return to degree program after the completion of the internship/co-opProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similarDemonstrated experience and self-driven motivation in solving analytical problems using quantitative approachesExperience building large-scale machine learning systems and training with large datasetsExperience communicating complex research in a clear, precise, and actionable mannerDemonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)Experience working and communicating cross functionally in a team environmentLocationsAbout MetaMeta 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.Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .
Expected salary
Location
Paris
Job date
Sat, 05 Oct 2024 02:31:40 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.