AI Research Intern

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! Are you an AI Research Intern passionate about tackling exciting challenges in reinforcement learning, computer vision, GenAI, biology, and deep learning problems? Do you have strong software engineering skills and a deep curiosity for AI-related fields? If this sounds like you, keep reading! As an AI Research Intern, you’ll be a part of the Engineering Department. and will take a lead on one of the following internships. Here are this year’s topics: Reinforcement LearningREQUIREMENTSImportant datesOur 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.

  • Optimizing at Scale: RL Solutions for Massive Combinatorial Problems
  • Kolmogorov-Arnold Symbolic Regression. Deep Learning
  • Improve Bio-image segmentation with federated learning Computer Vision
  • Adapting LongViT for Specific downstream tasks with adapters
  • PCB Footprint Generation BioAI & LLMs
  • AssistTrials: Your clinical trials assistant The internship is based in our Tunis office and will run for 6 months starting February. We are looking for candidates who are prepared to
  • Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
  • Collaborate with the Research team to drive high-impact innovation by tackling previously unsolved problems with AI.
  • Demonstrate a research-driven aptitude toward addressing yet unsolved problems on the frontier of AI and life sciences.
  • Create solid and self-explanatory documentation.
  • Develop scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Be inspired and proud of your work.
  • Undergraduate degree in Computer Science, Mathematics, or a related scientific field.
  • Experience in developing and debugging with Python. Knowledge of C/C++, Jax, and other languages is a strong plus.
  • Experience using deep learning frameworks such as PyTorch, Tensorflow, and/or Keras.
  • Research and software engineering experience demonstrated via previous internships, contributions to open-source projects, or coding competitions.
  • Proficiency with Git workflow, and development with best coding practices.
  • Excellent written and verbal communication skills in English
  • The application deadline is the 3rd of November.
  • The process will involve:
  • CV screening
  • Online assessment
  • Onsite Technical Test.
  • Onsite Interviews with ML engineers.
  • Final decision will be sent beginning of December.
تاريخ النشر: اليوم
الناشر: LinkedIn
تاريخ النشر: اليوم
الناشر: LinkedIn