At a Glance
- Tasks: Build and optimise large-scale ML systems while collaborating with top-notch Research Scientists.
- Company: Mistral AI, a leader in machine learning innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic and collaborative environment with exciting research projects.
- Why this job: Join a cutting-edge team and make a significant impact in the ML field.
- 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 in London 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 access to a wealth of resources and networking opportunities, making Mistral AI a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Research Engineer - Large-Scale Pipelines in London
✨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 algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Research Engineer - Large-Scale Pipelines in London
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 hold back on those 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’ve contributed to group efforts in your previous roles.
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 and submit your materials!
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 theory but can apply it practically.
✨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 effectively, and how you handled any challenges that arose. This will highlight your ability to work well in a team setting.
✨Prepare for Technical Questions
Expect some technical questions that test your software design instincts. Brush up on coding challenges related to Python and large-scale ML systems. Practising coding problems beforehand can help you feel more confident and demonstrate your problem-solving skills during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects the team is working on or the challenges they face in optimising their systems. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
