Research Scientist Intern, Reinforcement Learning Job at Meta (Paris)

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Research Scientist Intern, Reinforcement Learning

We’re looking for a curious and motivated Reinforcement Learning Intern to help ...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Currently pursuing a PhD or Masters in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on Machine Learning, AI, or Computer Vision
Experience in research in Reinforcement Learning
Interest in one or more: synthetic data, representation learning, and Offline RL
Comfortable working in Python and libraries like PyTorch, NumPy, and Pandas
A principled mindset: you enjoy brainstorming, making assumptions, building, testing, and iterating on ideas to see what works

Job Responsibility

Help advance the next generation of decision-making systems for autonomous driving
Work embedded in a research team to develop scalable RL algorithms that enable vehicles to learn complex behaviors directly from experience — both in simulation and the real world

What we offer

Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the a diverse team of the brightest researchers and engineers in this space
A culture that is ego-free, respectful and welcoming
Potential to publish your research work at a top flight conference
The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Research Scientist Intern

Meta is seeking Research Interns to join our Meta Superintelligence Lab in one o...

Location

France , Paris

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related languages
Experience building systems based on machine learning and/or deep learning methods

Job Responsibility

Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques
Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics
Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems
Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions
Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results
Disseminate research results through publications, presentations, and open source contributions
When applicable, contribute to research that can be applied to Meta product development

Research Scientist Intern

Meta is seeking Research Interns to join our Meta Superintelligence Lab in one o...

Location

France , Paris

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a Masters degree in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, or similar or relevant technical field
Research and/or work experience in Natural Language Processing
Research and/or work experience in Machine Learning or Deep Learning
Experience in Python, C++, or other related languages
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques
Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics
Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems
Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions
Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results
Disseminate research results through publications, presentations, and open source contributions
When applicable, contribute to research that can be applied to Meta product development

Research Scientist Intern, AI Core Machine Learning

We are committed to advancing the field of artificial intelligence by making fun...

Location

United States , New York

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

Research Scientist Intern, AI Core Machine Learning

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations w...

Location

United States , Sunnyvale

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with deep learning frameworks such as Pytorch or Tensorflow
Experience with Python, C++, C, Java, or other related languages
Experience with research and building systems based on machine learning and/or deep learning methods

Job Responsibility

Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence
Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development

Research Scientist Intern, AI Research Multi-modal Post-Training

Meta is seeking Research Scientist Interns in the Meta Superintelligence org. We...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, NLP, Reinforcement Learning (RL), Computer Vision, Artificial Intelligence, or relevant technical field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in Python or other related programming languages
Experience building systems based on machine learning and/or deep learning methods

Job Responsibility

Perform research to advance the science and technology of generative AI
Perform research that enables learning the semantics of data at scale (images, video, text, audio, and other modalities)
Improve and propose new methods for post-training foundation models across the spectrum of techniques including reinforcement learning and supervised fine tuning
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Devise better data-driven models of image multi-modal understanding
Publish research results and contribute to research that can be applied to Meta product development

Research Scientist Intern, Reinforcement Learning

Meta

Location:
France , Paris

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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Research Scientist Intern, Reinforcement Learning

Meta

Location:France , Paris

Category:Research and Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 18, 2026

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Location:
France , Paris

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Job Posted:
February 18, 2026