At a Glance
- Tasks: Develop innovative speech models and scalable AI systems for impactful applications.
- Company: Mistral, a forward-thinking company in the AI space.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Engage in exciting open-source projects and contribute to cutting-edge research.
- Why this job: Join a dynamic team to shape the future of audio AI and make a real difference.
- Qualifications: Experience in AI, machine learning, and strong collaboration skills.
The predicted salary is between 70000 - 90000 £ per year.
Mistral is seeking an AI Scientist on the Audio team to advance speech-language modeling by developing novel training, evaluation, and deployment methods.
You will contribute to scalable, production-ready AI systems and collaborate with researchers, engineers, and product teams to deliver impactful capabilities.
You will work across multilingual and multimodal use cases, building tooling to train and analyze models at scale, and contribute to open-source projects and publications.
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Audio AI Scientist: Speech Models & Scalable ML Systems in London employer: mistral
Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.
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We think this is how you could land Audio AI Scientist: Speech Models & Scalable ML Systems in London
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We think you need these skills to ace Audio AI Scientist: Speech Models & Scalable ML Systems 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!
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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!
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✨Get Comfortable with Python and R
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✨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.
