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- Tasks: Lead innovative research and develop state-of-the-art AI models across text and speech.
- Company: Pioneering AI firm based in Greater London with a focus on innovation.
- Benefits: Competitive salary, meal vouchers, gym reimbursements, and health insurance.
- Why this job: Join a cutting-edge team and make a real impact in the AI field.
- Qualifications: Expertise in PyTorch or JAX and strong communication skills required.
- Other info: Collaborative environment with opportunities for high-impact projects.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering AI firm in Greater London is looking for Applied Scientists and Research Engineers to lead innovative research and develop state-of-the-art models. The ideal candidates will work across various modalities such as text and speech, and collaborate with technical teams on high-impact projects.
A competitive salary and benefits, including meal vouchers, gym reimbursements, and health insurance, are offered.
Candidates should have expertise in PyTorch or JAX and possess strong communication skills.
Applied Scientist & Research Engineer — Europe/EMEA employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist & Research Engineer — Europe/EMEA
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch or JAX. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want you to shine when discussing your ideas!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied Scientist & Research Engineer — Europe/EMEA
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in PyTorch or JAX right from the get-go. We want to see how your skills can contribute to our innovative research and state-of-the-art models!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We love seeing how you align with our mission and the specific role.
Communicate Clearly: Strong communication skills are key for us. When writing your application, be clear and concise. Show us that you can convey complex ideas simply, as this is crucial for collaboration on high-impact projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch or JAX, as these are crucial for the role. Brush up on your knowledge of state-of-the-art models and be ready to discuss your previous projects that utilised these technologies.
✨Showcase Your Communication Skills
Since strong communication is key, practice explaining complex concepts in simple terms. Prepare to discuss how you've collaborated with technical teams in the past and how you can contribute to high-impact projects.
✨Research the Company and Its Innovations
Familiarise yourself with the pioneering AI firm’s recent projects and innovations. This will not only help you understand their work better but also allow you to ask insightful questions during the interview.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you’ve tackled challenges in research or model development, and be ready to explain your thought process and outcomes.
