Research Scientist Intern, AI Core Machine Learning (PhD) at Meta

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

12134.0

Posted On

19 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Computer Vision, Audio Processing, Speech Processing, Natural Language Processing, Machine Learning, Reinforcement Learning, Computational Statistics, Signal Processing, Information Retrieval, Applied Mathematics, Python, C++, Java, Pytorch, Tensorflow

Industry

Software Development

Description

We are 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, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio) Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results Contribute to research that can be applied to Meta product development Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Experience with Python, C++, C, Java or other related language Experience with deep learning frameworks such as Pytorch or Tensorflow Experience building systems based on machine learning and/or deep learning methods Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar Preferred Qualifications Intent to return to degree program after the completion of the internship/co-op Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio Experience building systems based on machine learning, reinforcement learning and/or deep learning methods Demonstrated 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 environment $7,650/month to $12,134/month + benefits

Responsibilities

Develop novel machine learning algorithms and improve the efficiency and scalability of deployed algorithms. Collaborate with researchers and contribute to research applicable to product development.