At a Glance
- Tasks: Explore cutting-edge AI research and develop new architectures for robotics and autonomous systems.
- Company: Join Graphcore, a leader in AI hardware and innovative technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and impact.
- Why this job: Be at the forefront of AI research and influence the future of technology.
- Qualifications: Strong background in AI, machine learning, and research experience.
The predicted salary is between 80000 - 98000 £ per year.
Graphcore in the UK seeks a Research Scientist to push AI research at the intersection of visual generative modelling, multimodal learning and hardware-aware ML. You will explore new architectures and training methods for embodied AI, robotics and autonomous systems, publishing your findings and collaborating with hardware and software teams.
The role sits at the frontier of model research and AI hardware, with opportunities to influence the next generation of AI accelerators.
Research Scientist, Visual GenAI & World Models employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment in the heart of Bristol and London, where innovation thrives. With a strong focus on employee growth, we provide opportunities to engage in cutting-edge AI technology while enjoying benefits like flexible working, generous leave policies, and comprehensive health plans. Our inclusive culture fosters collaboration among diverse talents, ensuring that every team member can make a meaningful impact on the future of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Visual GenAI & World Models
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like graphcore!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Scientist, Visual GenAI & World Models at graphcore.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like graphcore.
✨Apply Directly through Our Website
When you find a suitable opening like Research Scientist, Visual GenAI & World Models at graphcore, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Scientist, Visual GenAI & World Models
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at graphcore, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at graphcore. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at graphcore
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at graphcore!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
