At a Glance
- Tasks: Drive innovative generative video technology and develop cutting-edge AI models.
- Company: Join Canva, a leading tech company in Greater London with a focus on creativity.
- Benefits: Equity packages, inclusive parental leave, and flexible leave options for personal well-being.
- Other info: Thriving environment that encourages innovation and personal growth.
- Why this job: Make an impact in the exciting field of generative video AI and collaborate with top researchers.
- Qualifications: Strong collaborative skills and experience in machine learning engineering.
The predicted salary is between 60000 - 80000 £ per year.
Canva in Greater London is looking for a Senior Research (Machine Learning) Engineer to drive innovative generative video technology. You'll work alongside Research Scientists, translating theory into practical AI applications. This role involves developing cutting-edge models, optimizing large-scale training, and building robust ML pipelines. The ideal candidate will thrive in ambiguity and possess strong collaborative and engineering skills.
Among the benefits are equity packages, inclusive parental leave, and flexible leave options to support personal well-being.
Senior Research Engineer, Generative Video AI — Equity in London employer: Canva
Canva is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Research Engineer in Generative Video AI. Located in Greater London, employees benefit from equity packages, inclusive parental leave, and flexible leave options that prioritise personal well-being and work-life balance. With a strong emphasis on professional growth and the opportunity to work with cutting-edge technology, Canva empowers its team to thrive in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Engineer, Generative Video AI — Equity in London
✨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 Canva!
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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 Canva.
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We think you need these skills to ace Senior Research Engineer, Generative Video AI — Equity in London
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 Canva, 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 Canva. 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 Canva
✨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 Canva!
✨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.
