AI Research Engineer Intern (Reinforcement Learning)

InstaDeep; Paris; Hybride; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A pioneering AI company in Paris is seeking an AI Research Engineer Intern to design and implement advanced solutions for real-world challenges. You will leverage deep reinforcement learning and work with leading frameworks like PyTorch and TensorFlow. As part of a multidisciplinary team, you will develop novel methods for optimization and enhance existing architectures. Strong communication and collaboration skills are essential. The role supports a hybrid work model, offering the chance to contribute to groundbreaking projects in artificial intelligence.

Qualifications

• Currently in the last year of a Master’s or PhD program.
• Comprehensive understanding of deep learning principles.
• Proficiency in Python with hands-on experience using leading frameworks.

Responsabilités

• Design, implement, and evaluate reinforcement learning algorithms.
• Leverage modern deep learning frameworks for agent performance improvement.
• Analyze and validate model behavior through rigorous experimentation.
• Contribute to long-term research in AI-driven optimization.
• Report results clearly in written and verbal form.
• Write clean, maintainable, and modular code.

Connaissances

Reinforcement learning

Deep learning frameworks

Python

Statistical testing

Collaborative work

Communication skills

Formation

Master’s or PhD in Computer Science or Applied Mathematics

Outils

PyTorch

TensorFlow

JAX

Description du poste

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, New York, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions such as MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast‑growing companies, and Europe's 1000 fastest‑growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

About Applied AI

The Applied AI team at InstaDeep creates optimization solutions for large scale real-world industrial problems. Each solution is built to be ready for full production use by our clients and it is the Applied AI team that owns all stages of this lifecycle: Within Applied AI, Research Engineering builds the AI optimization systems, MLOps sets up the training and inference infrastructure and the Software teams build graphical user interfaces and API servers. These teams work together to provide the end-to-end capabilities required to create scalable and high-performing optimization tools for the end user, all done 100% within InstaDeep. Our work spreads across many industries — from Energy to Logistics to Production Optimization, there are plenty of interesting topics!

About the role

As an AI Research Engineer Intern, you will be responsible for developing innovative solutions to complex, real-world challenges. This role involves leveraging a broad spectrum of advanced AI methodologies, including but not limited to deep reinforcement learning, graph neural networks, and quality‑diversity algorithms. You will actively engage in the research, development, and optimization of novel approaches, systematically evaluating and refining strategies to deliver effective, state-of-the-art solutions grounded in the latest advancements in artificial intelligence.

This job posting groups several internship topics.

Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms and benchmarking experiments to address complex decision‑making or control problems.
• Leverage modern deep learning frameworks and classical optimization techniques to improve agent performance, stability, and generalization.
• Analyze and validate model behavior through rigorous experimentation and statistical testing to ensure robustness and reproducibility.
• Contribute to long‑term research in AI‑driven optimization, planning, and autonomous systems by developing novel RL methods or improving existing architectures.
• Report results clearly and efficiently in written and verbal form, both internally and externally.
• Write clean, maintainable, and modular code with thorough documentation.

Requirements

• Currently in the last year of a Master’s or PhD program in Computer Science, Applied Mathematics, or a closely related discipline.
• Comprehensive understanding of deep learning principles, with solid foundations in reinforcement learning, and associated areas of research.
• Proficiency in Python, with hands‑on experience using leading deep learning frameworks such as PyTorch, TensorFlow, and JAX.
• Demonstrated ability to work collaboratively within multidisciplinary research and engineering teams.
• Exceptional communication skills and fluency in English, both written and verbal.

Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team?We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well‑being of InstaDeepers at the forefront of our minds.

Right to work

Please note that you will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.