Research Scientist Intern, AI Core Machine Learning (PhD)

Meta; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Meta is seeking interns passionate about deep learning, computer vision, NLP, and ML to push core algorithmic advances at scale. This 12–24 week program offers exposure to research and system-building in AI, with start dates throughout the year.

Applicants should be pursuing a PhD in ML/AI/CS or related fields and maintain work authorization in the country of employment. Ideal candidates have experience with Python, C++, Java or similar, and frameworks like PyTorch or TensorFlow, plus a proven

Qualifications

• Pursuing a PhD in ML/AI/CS or related field.
• Strong publication record demonstrated by first-authored papers.
• Experience with Python, C++, and ML frameworks.
• Hands-on ML system building and RL research experience.
• Ability to communicate across teams.

Skills

Python

C++

C

Java

PyTorch

TensorFlow

Machine learning

Reinforcement learning

Information retrieval

Natural language processing

Computer vision

Deep learning

Research

Cross-functional teamwork

Open source

ML systems

Education

PhD in ML/AI/CS

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 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
• 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)