[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Paris, FR # Research Scientist Intern, AI Core Machine Learning (PhD) Paris, FR Internship or early career Early career Data & Analytics Listed on Meta Platforms’s official careers site. Posted October 22, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/969100159096154/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist Intern, AI Core Machine Learning (PhD) ## 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. ## 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. ## 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 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) ## At a glance - Posted by the employer: Oct 22, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 10 days - Location: Paris, FR - Employment type: Internship or early career[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/969100159096154/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [AI Data Center Development Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/08f3c615b73d033ed306/) Singapore ### [AI Research Scientist, Pre-training Data - MSL FAIR](https://jobs.opennash.com/companies/meta-platforms/jobs/9fb958f34362ab96fd47/) Menlo Park, CA ### [Analytics Business Partner](https://jobs.opennash.com/companies/meta-platforms/jobs/f129502b85873884f877/) Menlo Park, CA +2 more ### [Analytics Program Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/45720f691f4924021d7e/) Menlo Park, CA ### [Area Construction Manager, Data Center](https://jobs.opennash.com/companies/meta-platforms/jobs/463104ae973b09ebdc1a/) Menlo Park, CA +1 more ## Similar jobs at other companies ### [Lead Software Engineer - Core Quant Research Technology](https://jobs.opennash.com/companies/jpmorganchase/jobs/cb078636230ae61e8e23/) JPMorganChase · LONDON, United Kingdom ### [Staff Scientist, Biopharma (Core Shift)](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/2b7ff25bb15fc28ca8a9/) Thermo Fisher Scientific · Athlone, Ireland ### [Shrimp Senior Research Scientist](https://jobs.opennash.com/companies/cargill/jobs/e27afe3bd9ea6adc50b5/) Cargill · Guayaquil, Ecuador ### [Scientist II, Biopharma - Core or evening shift](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/1ca9c4d6febbaca8101b/) Thermo Fisher Scientific · Athlone, Ireland ### [Microsoft Research Cambridge Internship Program - Machine Intelligence](https://jobs.opennash.com/companies/microsoft/jobs/e651d6d6912de005db8b/) Microsoft · United Kingdom, Cambridgeshire, Cambridge OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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