Research Scientist Intern, AI Core Machine Learning (MSc)

Meta; Paris; Hybrid; EUR 28.000 - 50.000; Vollzeit

Zusammenfassung

Meta is seeking a Research Scientist Intern in AI Core Machine Learning (MSc) to advance state-of-the-art machine learning techniques. The internship spans 12 to 24 weeks with multiple start dates.

Responsibilities include developing ML algorithms, improving deployed systems, and conducting cutting-edge research across CV, NLP, audio, and information retrieval. Collaboration with researchers and product teams is essential.

Qualifikationen

• Currently pursuing or having MSc in ML/AI, CS, information or related field.
• Strong programming in Python/C++/Java or similar.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience building systems using ML/DL methods and research in sequential decision making.

Aufgaben

• Develop novel state-of-the-art ML algorithms and systems using deep learning techniques.
• Analyze and improve efficiency, scalability, and stability of deployed algorithms.
• Perform cutting-edge research to advance ML/AI science and tech.
• Design data-driven models for information retrieval, multimodal fusion, generation, or media understanding.
• Collaborate with researchers and cross-functional partners, communicating plans, progress and results.
• Contribute research with potential product applications at Meta.

Kenntnisse

Python

C++

PyTorch

Reinforcement learning

Machine learning

Ausbildung

Masters degree in ML/AI or related field

Tools

TensorFlow

Git

Jobbeschreibung

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.

Research Scientist Intern, AI Core Machine Learning (MSc) 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 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

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
• Expertise in RL for training LLMs (RLHF, RLVR)
• Expertise in Math/Formal Math (Lean)

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.