At a Glance
- Tasks: Join a global team to develop cutting-edge AI models for autonomous driving.
- Company: Be part of Bosch Mobility, a leader in automated driving systems.
- Benefits: Gain hands-on experience, mentorship, and the chance to co-author research papers.
- Other info: Collaborative environment with opportunities to explore your research interests.
- Why this job: Contribute to groundbreaking research that shapes the future of mobility.
- Qualifications: Masters or PhD student in computer vision or machine learning; Python programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 a global team building foundation model-based technology for autonomous driving.
Our expertise lies in developing state-of-the-art AI models, supporting robust, scalable products around them, and transforming research capabilities into practical solutions to accelerate the development of advanced features in autonomous driving systems.
Job Requirements- You will hold or be studying towards a Masters or PhD in computer vision, machine learning, or a closely related field.
- You are a competent programmer, preferably in Python.
- Experience with popular machine learning frameworks such as PyTorch or TensorFlow.
- You can work on a research paper, as the need arises.
- A strong publication record in top-quality venues (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TMLR, SIGGRAPH, etc.) will strengthen your application.
- You have excellent communication skills and enjoy working with other researchers and engineers.
The position is within a global team working on building foundation models for autonomous driving, led by Dr. Puneet Dokania. We are a group of researchers and engineers working at the intersection of cutting-edge machine learning research and real-world autonomous driving, embedded within Bosch's broader mission to build the future of mobility. Our work is both scientifically rigorous and practically impactful.
We actively publish at top-tier venues including NeurIPS, ICLR, CVPR, ICCV, ECCV, and TMLR, while simultaneously building the core technologies that power driverless vehicles. As an intern, you will be part of this process with the opportunity to contribute to and co-author research publications.
We believe that the best research happens when people are genuinely excited about the problem they are working on. To that end, we are open to defining the project together with you based on your interests and background. Some example directions include, but are not limited to, building safe and accurate Vision-Language-Action models that connect perception, language understanding and vehicle control, and developing world models as closed-loop simulators that can evaluate and train autonomous driving systems at scale.
You can expect direct mentorship from experienced researchers and engineers, exposure to the full research cycle from idea to paper to real-world system.
Research Intern employer: Five AI
At Five, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of autonomous driving. As part of Bosch Mobility, our interns benefit from direct mentorship by leading experts, access to cutting-edge research opportunities, and the chance to contribute to impactful publications in top-tier venues. Located at the heart of technological advancement, we provide a stimulating environment where your passion for machine learning and computer vision can thrive, ensuring meaningful growth and development in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Research Intern
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Research Intern
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Five AI will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Five AI
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Five AI.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Five AI that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
