At a Glance
- Tasks: Join our team to develop cutting-edge AI for autonomous driving systems.
- Company: Five AI, a leader in automated driving technology.
- Benefits: Competitive salary, pension, private medical care, and skill development opportunities.
- Other info: Collaborative, multicultural environment with strong focus on research and engineering.
- Why this job: Make a real impact in the future of safer autonomy with innovative projects.
- Qualifications: Masters or PhD in computer vision or machine learning; programming skills in Python.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Five AI Cambridge, England, United Kingdom
Five AI 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.
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 challenges.
About the Team
The position will be within our Applied Research team led by Dr. Puneet Dokania. The group has been actively conducting and publishing state-of-the-art research in machine learning while also playing a crucial role in building the future of autonomous driving within Bosch. Our focus is to develop cutting-edge technologies to enable driverless cars. One example project can be looking into different aspects of building accurate, efficient, and reliable Vision-Language-Action models for driving in urban scenarios. We also regularly publish numerous high-quality papers at top tier conferences (e.g. NeurIPS, ICLR, CVPR, ICCV, ECCV, TMLR) and would like you to be involved in the process. Please see the full list of publications here: https://www.five.ai/our-research.
Responsibilities
- You will hold a Masters or a PhD in computer vision, machine learning, or a closely related field.
- You will support machine learning development by building and maintaining a modern MLOps stack using services like Kubernetes, Docker and cloud services such as Azure. An experience of 2+ years on this would be preferable, However, fresh graduates with solid academics and highly motivated to work and build on these tools will also be considered.
- Experience in pre-training, fine-tuning and benchmarking large-scale machine learning models is preferable.
- You are a competent programmer, preferably in Python. Experience with popular machine learning frameworks such as PyTorch or TensorFlow.
- You have excellent communication skills and enjoy working with other researchers and engineers.
- Though not mandatory, a strong publication record in top-quality venues (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, etc.) will strengthen your application.
You are a scientist who is also keen to do engineering work (e.g., MLOps) to support scientific progress in building innovative products.
You will be joining a European leader in the autonomous driving system market where you can have a real impact in a smart, low-ego multi-cultural team. We provide an environment where you can develop your skills and deliver meaningful work that matters. You’ll be rewarded with a competitive salary and financial package, pension and private medical care.
Equal Employment Opportunity
Five is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.
Benefits
Help us to build the future of safer autonomy!
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Research and Engineering
- Industries: Software Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Research Scientist in Cambridge employer: Five AI
Five AI is an exceptional employer located in Cambridge, England, at the cutting edge of automated driving systems. With a strong focus on innovation and collaboration, employees are encouraged to grow their skills within a supportive, multi-cultural team environment that values contributions to meaningful projects. The company offers competitive salaries, comprehensive benefits including pension and private medical care, and opportunities to publish research in top-tier conferences, making it an attractive place for those passionate about advancing technology in the automotive industry.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist in Cambridge
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Five AI, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Five AI. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Scientist in Cambridge
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Five AI. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Five AI. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Five AI
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Five AI. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Five AI to drive research projects forward.
