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Research Scientist Intern, Reinforcement Learning

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Wayve

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We’re looking for a curious and motivated Reinforcement Learning Intern to help advance the next generation of decision-making systems for autonomous driving. In this role, you’ll 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.

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

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

Nice to have:

  • Experience collaborating on research projects or contributing to shared codebases
  • Publications or submissions at venues such as CVPR, ICCV, CoRL, NeurIPS, ICML, ICRA, or RSS are a nice bonus, but not required
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

Additional Information:

Job Posted:
January 01, 2026

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