Research Intern

Cambridgeshire, England, United Kingdom

7/10/2025

Five is at the forefront of European efforts to develop automated driving systems. Building on our heritage and unique experience as a pioneer in this space, we are taking what we have learned from conducting groundbreaking public road trials of autonomous vehicles to inform a robust safety assurance platform that helps tackle one of the industry's most complex challenges.

Now, as part of Bosch Mobility, we are driving innovation within the Automated Driving Alliance – a strategic partnership between Bosch and Volkswagen Group's CARIAD. We are leading the efforts to create, manage, and evaluate cloud-based simulation within a state-of-the-art standardised software platform, enabling our automotive partners to build automated driving systems that are safer, smarter, and more scalable than ever before

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We’re engineers, scientists, developers, and designers. We’re problem-solvers, dreamers, pioneers, innovators, creatives and pragmatists. We’re hard-working people, solving far-reaching challenge

s.
About this Internsh

ip:The internship will work with our Applied Research team, which has been conducting and publishing state-of-the-art research in machine learning. Our main focus is to develop cutting-edge technologies to enable driverless cars. We regularly publish numerous high-quality papers at top tier conferences (e.g. NeurIPS, ICLR, CVPR, ICCV, ECCV), and would like you to be involved in the process. Please see the full list of publications here: https://www.five.ai/our-resear

ch.
We're looking for both new and experienced researchers interested in collaborating with us. During the internship, you will aim to make a contribution to the field by improving existing methods or deepening our understanding of existing systems. The internship will last between 6 and 9 months, and ideally you will publish a paper at a top-tier conference by the end. To provide examples, below are our two work from last year with our two brilliant inte

• rns:
  On Calibration of Object Detectors, ECCV 2024 (Oral presentation), https://arxiv.org/pdf/2405.
• 20459What Makes and Breaks Safety Fine-tuning? A Mechanistic Study, NeurIPS 2024, https://arxiv.org/pdf/2407.

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We are flexible in determining the internship project as long as we ensure that the project aligns with our main focus of building technologies for driverless cars. To provide some examples, potential projects can in

• clude:Developing novel autonomous driving approaches using vision foundation models, vision-language models and large language m
• odels,Developing neural simulators for closed-loop training and te
• sting,Analysing the end-to-end autonomous driving models from robustness perspective (out-of-distribution, domain shift

etc.).
The internship will be hybrid, based from either our Cambridge Head Office or our Oxford o

ffice.
Ab

• out You:You will likely hold or be studying for a Masters or a PhD in computer vision, machine learning, or a closely relate
• d field.You may already have a strong publication record in top-quality venues (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, etc.), in line with your career stage and the research opportunities you have had; or you will have demonstrable potential to publish in such
• venues.You are a competent programmer, preferably in Python. Experience with popular machine learning frameworks such as PyTorch would be
• helpful.You are able to write and produce research papers as the need
• arises.You have excellent communication skills and enjoy working with other rese

archers.

BenefitsFive provide an environment where you can develop your skills and deliver meaningful work that matters. Where you can have a real impact in a smart, low-ego multi-cultural team. As part of Bosch Mobility, we fuel the ideas of tomorrow and improve the technology of today. You’ll be rewarded with a competitive salary and financial package, including pension and private medi

cal care.
Five are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environmen

t for all.
Help us to build the future of safe

r autonomy!