AI Localisation Program Lead – LLM Translation & Automation

AI Localisation Program Lead – LLM Translation & Automation

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Canva

At a Glance

  • Tasks: Lead AI localisation projects and enhance translation quality with innovative solutions.
  • Company: Join Canva, a creative powerhouse redefining design in London.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Work autonomously in a dynamic team focused on innovation.
  • Why this job: Make a global impact by improving user experiences in over 100 languages.
  • Qualifications: Strong background in localisation frameworks and machine learning techniques.

The predicted salary is between 60000 - 80000 Β£ per year.

Canva is seeking a Senior Specialist for the Localisation Group in London. You will partner with product and engineering teams to build robust localisation infrastructure and improve translation quality through innovative AI solutions. This role demands high autonomy and a strong foundation in localisation frameworks.

Your experience with machine learning techniques and translation evaluation will be essential for driving efficiency and ensuring optimal user experiences in over 100 languages. Join us in redefining design!

AI Localisation Program Lead – LLM Translation & Automation employer: Canva

Canva is an exceptional employer that fosters a culture of innovation and collaboration, particularly in our London office where creativity thrives. We offer competitive benefits, a commitment to employee growth through continuous learning opportunities, and the chance to work on cutting-edge AI solutions that redefine design. Join us to be part of a dynamic team that values autonomy and empowers you to make a meaningful impact in the localisation space.

Canva

Contact Details:

Canva Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Localisation Program Lead – LLM Translation & Automation

✨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!

✨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 AI Localisation Program Lead – LLM Translation & Automation at Canva.

✨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 Canva.

✨Apply Directly through Our Website

When you find a suitable opening like AI Localisation Program Lead – LLM Translation & Automation at Canva, 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 AI Localisation Program Lead – LLM Translation & Automation

Localisation Frameworks
Machine Learning Techniques
Translation Evaluation
AI Solutions
Collaboration with Product Teams
Collaboration with Engineering Teams
Autonomy

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.