Logo of Huzzle


AI Research Intern (PhD)

Logo of Helsing


1mo ago

🚀 Off-cycle Internship


AI generated summary

  • You should have a PhD in robotics or related field, experience in AI systems, strong coding skills in Python/Rust/C++, and knowledge of ML platforms like PyTorch. Top-tier conference papers and interpersonal skills are a plus.
  • You will design and implement algorithms for computer vision, conduct experiments, collaborate with researchers, and communicate research progress.

Off-cycle Internship

Research & Development, DataLondon


  • At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks. 


  • You should apply if you:
  • Are in the process of obtaining a PhD in robotics, computer science, engineering or related field
  • Have experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems
  • Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
  • Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches
  • Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, or modern C++
  • Experience with machine learning software platforms such as PyTorch, Jax, TensorFlow, etc
  • Note: The above bullet points describe the ideal candidate. None of us matched all of these at once when we first joined Helsing. We encourage you to apply even if you believe you meet only part of our wish list.
  • Nice to have:
  • A proven track record of achieving results as demonstrated in accepted papers in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, ECCV, SIGGRAPH, ICRA, IROS, etc
  • 3D computer vision and geometry expertise
  • Strong maths and optimisation skills
  • Interpersonal experience: cross-group and cross-culture collaboration

Education requirements

Currently Studying

Area of Responsibilities

Research & Development


  • Design and implementation of novel algorithms to solve challenging computer vision problems
  • Experimental design, implementation, and execution to evaluate new algorithms
  • Collaboration with and support of other researchers across the company
  • Communication of research agenda, progress, and results
  • Internships are 16 to 24 weeks long and have various start dates
  • Specific projects will be designed in collaboration with successful applicants


Work type

Full time

Work mode





  • A focus on outcomes, not time-tracking
  • Social allowances
  • Regular company events and all-hands to bring together employees as one team across Europe
  • A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day on