AI Research Engineer Intern
Paris
Engineering (All Teams) – Engineering /
Internship /
On-site
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, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like 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!
The Offer:
We are looking for motivated and curious individuals to join our team in Paris as AI Research Engineer Interns. In this role, you will tackle complex industry challenges by researching, developing, and implementing cutting-edge AI solutions. This position will allow you to work with advanced AI techniques including deep Reinforcement Learning (RL), Large Language Models (LLMs) in various applications such as railway transportation, bin packing, chemistry, biology and robotics.
This posting encompasses multiple internship topics. Specific areas of focus will be discussed during the interview process to match your interests and skills with our needs. Here are examples of topics:
- Model-based RL for Chemical Reactions
- Leveraging LLM to write RL Environment
- Reinforcement Learning for Protein Design
- Vision-based Reinforcement Learning for Robotics
- Graph Neural Networks for AlphaZero on Industrial Optimization problems
- Model-based planning RL for Bin packing problem
- Reinforcement Learning for Airport Operations Optimization
- Single-Agent RL for train routing
Key Responsibilities:
- Collaborate with InstaDeep's vibrant research and engineering teams.
- Translate academic literature findings into practical implementations for the designated problem.
- Drive the project from ideation to realization, ensuring optimization of the solution.
- Engage deeply with the chosen problem, utilizing a range of AI techniques as appropriate.
- Maintain comprehensive documentation of your contributions.
Requirements:
- Current enrollment in a M.S./Ph.D. program in computer science, applied mathematics, or a related field.
- A good foundation in deep learning, more specifically: reinforcement learning, LLMs and related fields.
- Proficiency in Python and frameworks like PyTorch, Tensorflow and Jax.
- Team collaboration capabilities.
- Outstanding communication skills and English Proficiency.
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 at least 2 to 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 in the location you are applying for.
