Research Scientist Intern, AI Core Machine Learning (MSc)

Meta; Paris; On-site; EUR 8,900 - 17,000; Full time

Job summary

Meta invites interns to contribute to core AI advances across deep learning, computer vision, NLP, and information retrieval. Internships run from 12 to 24 weeks with multiple start dates yearly, offering hands-on opportunities to build systems at scale and push the frontiers of ML research.

Applicants should be pursuing a Masters in a relevant field and possess strong coding skills (Python/C++/Java), familiarity with PyTorch or TensorFlow, and a track record of research results or open-source

Qualifications

• Pursuing a Masters degree in ML/AI or related field.
• Proven track record of significant results via grants, fellowships, patents, or first-authored publications.
• Experience with ML/DL frameworks and building ML systems.

Skills

Python

C++

Java

Deep learning

PyTorch

TensorFlow

ML research

Reinforcement learning

Information retrieval

NLP

Software engineering

Cross-functional collaboration

Education

Masters degree in ML/AI or related field

Tools

PyTorch

TensorFlow

Job 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.

• Currently has or is in the process of obtaining a Masters 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
• 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
• Expertise in RL for training LLMs (RLHF, RLVR)
• Expertise in Math/Formal Math (Lean)