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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI frameworks like 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 technical skills and understanding the MLOps stack. Practice explaining your past projects and how they relate to the role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Mistral. Plus, it makes it easier for us to find your application and get back to you quickly.
We think you need these skills to ace AI Scientist
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 team and the role we’re looking to fill.
Be Yourself:We love self-starters who can work autonomously but also thrive in a team environment. Share examples of how you've collaborated with others or taken initiative in past projects. It’s all about showing us your personality and work ethic!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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 set you apart as someone who can contribute to the team from day one.
✨Collaborative Mindset
Since the role involves working cross-functionally, be prepared to discuss your experiences as a team player. Share examples of how you’ve collaborated with scientists, engineers, or product teams to deliver impactful AI systems. This will highlight your ability to work autonomously while still being a valuable team member.
