At a Glance
- Tasks: Build and optimise large-scale ML systems while collaborating with top-notch Research Scientists.
- Company: Join Mistral AI, a leader in machine learning innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovative research.
- Why this job: Make a real impact in the ML field and enhance cutting-edge training frameworks.
- Qualifications: Master's or PhD in Computer Science and 4+ years in large-scale ML.
The predicted salary is between 60000 - 80000 £ per year.
Mistral AI is seeking a Research Engineer for the ML track to build and optimise large-scale learning systems. You will work alongside Research Scientists, enhancing training frameworks and creating scalable code for various research teams.
The ideal candidate will have:
- A Master's or PhD in Computer Science
- 4+ years in large-scale ML
- Proficiency in Python, PyTorch, or JAX
This role requires a collaborative mindset and strong software design instincts.
Senior ML Research Engineer - Large-Scale Pipelines employer: Mistral AI
Mistral AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the field of machine learning. With a strong emphasis on employee growth, we provide ample opportunities for skill development and career advancement, all while working in a cutting-edge environment that values creativity and teamwork. Located in a vibrant tech hub, our team enjoys not only competitive benefits but also the unique advantage of being at the forefront of AI research and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Research Engineer - Large-Scale Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at Mistral AI.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, PyTorch, or JAX. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your large-scale ML knowledge. Practice coding challenges and be ready to discuss your past experiences in optimising learning systems. We want to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Mistral AI team. Let’s get you that interview!
We think you need these skills to ace Senior ML Research Engineer - Large-Scale Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in large-scale ML and showcases your proficiency in Python, PyTorch, or JAX. We want to see how your skills align with the role, so don’t be shy about detailing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about building and optimising large-scale learning systems. We love seeing candidates who can express their enthusiasm for the field and our mission.
Showcase Collaboration Skills:Since this role involves working closely with Research Scientists, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you contribute to a positive team dynamic!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Mistral AI
✨Know Your ML Stuff
Make sure you brush up on your knowledge of large-scale machine learning systems. Be ready to discuss your experience with frameworks like PyTorch or JAX, and have examples of projects where you've optimised training processes. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Show Off Your Collaboration Skills
Since this role involves working closely with Research Scientists, be prepared to talk about your past collaborative experiences. Think of specific instances where you contributed to a team project, how you communicated ideas, and how you handled any challenges. This will highlight your ability to work well in a team setting.
✨Demonstrate Your Software Design Instincts
Be ready to discuss your approach to software design, especially in the context of scalable code. Prepare to explain your thought process behind designing systems and how you ensure they are efficient and maintainable. This will help the interviewers see your technical depth and foresight.
✨Ask Insightful Questions
Prepare some thoughtful questions about Mistral AI’s current projects or future directions in ML research. This shows your genuine interest in the company and the role, plus it gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
