At a Glance
- Tasks: Join us to train large language models and develop innovative AI methods.
- Company: Pioneering company at the forefront of AI research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge projects.
- Why this job: Make a real-world impact by shaping the future of AI technology.
- Qualifications: Proficient in programming and experienced with AI frameworks and distributed systems.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java).
- You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes).
- You have high engineering competence, meaning you can design complex software and make it usable in production.
- You are a self-starter, autonomous, and a team player (Desirable).
- You have hands-on experience with training large transformer models in a distributed fashion (Desirable).
- You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation, and deployment (Desirable).
- You have a strong publication record in a relevant scientific domain.
What the job involves
- Mistral is hiring experts in the training of large language models and distributed systems.
- Join us to be part of a pioneering company shaping the future of AI.
- Research and develop novel methods to push the frontier of large language models.
- Work across use cases (e.g. reasoning, code, agents) and modalities (e.g. text, image, and speech).
- Build tooling and infrastructure to allow training, evaluation, and analysis of AI models at scale.
- Work cross-functionally with other scientists, engineers, and product teams to ship AI systems which have a real-world impact.
AI Scientist in London employer: Deepstreamtech
Mistral is an exceptional employer for AI Scientists, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge AI research, employees benefit from opportunities for professional growth and the chance to work on impactful projects that shape the future of technology. Located in a vibrant tech hub, Mistral provides a stimulating environment where creativity thrives and contributions are valued.
StudySmarter Expert Advice🤫
We think this is how you could land AI Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI frameworks like PyTorch or JAX. We want to see your hands-on experience and how you tackle complex problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding MLOps. We recommend practicing with real-world problems and discussing your thought process, as this will impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Scientist in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in programming languages like Python, Rust, or Java. We want to see your hands-on experience with AI frameworks and distributed systems, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Customise your application to reflect the job description. Mention your experience with training large transformer models and navigating the MLOps stack. This helps us see how you fit into our vision at StudySmarter.
Be Yourself:We love self-starters who can work autonomously but also thrive in a team. Share examples of how you've collaborated with others or taken initiative in past projects. Authenticity goes a long way!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and AI frameworks mentioned in the job description. Brush up on Python, PyTorch, or any other relevant tech. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar but also capable of using them effectively.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed complex software or trained large transformer models. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your engineering competence and problem-solving skills.
✨Understand MLOps
Familiarise yourself with the full MLOps stack, including fine-tuning, evaluation, and deployment. Be ready to discuss how you’ve navigated these processes in past projects. This knowledge will be crucial in showing that you can contribute to the team’s goals right from the start.
✨Be a Team Player
While showcasing your autonomy is important, don’t forget to highlight your ability to work collaboratively. Prepare examples of how you’ve successfully worked cross-functionally with other teams. This will illustrate that you can thrive in a team-oriented environment, which is key for this role.
