At a Glance
- Tasks: Innovate and develop enterprise-grade coding agents using machine learning.
- Company: Join SonarSource, a leader in pioneering technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on education and innovation.
- Why this job: Make a real impact by turning research into viable products.
- Qualifications: Strong background in machine learning and Python skills.
The predicted salary is between 50000 - 70000 £ per year.
SonarSource is looking for a research engineer to innovate and develop enterprise-grade coding agents. Candidates should have a strong background in machine learning and a knack for driving research projects into viable products. The ideal candidate will work within a cross-disciplinary team, utilizing Python and cloud infrastructure while educating others in complex technical concepts. This is a fantastic opportunity to contribute to pioneering technologies.
Research Engineer: AI Coding Agents & Post-Training ML in London employer: SonarSource
At SonarSource, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. As a Research Engineer, you will not only have the opportunity to work on cutting-edge AI projects but also benefit from continuous learning and professional development in a supportive environment. Located in a vibrant tech hub, our company offers unique advantages such as access to industry-leading resources and a network of like-minded professionals dedicated to making a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer: AI Coding Agents & Post-Training ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to educate others in your role. Mock interviews can be super helpful!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with Python and cloud infrastructure.
We think you need these skills to ace Research Engineer: AI Coding Agents & Post-Training ML in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and Python in your application. We want to see how your background aligns with the role of a Research Engineer, so don’t hold back on showcasing your coding prowess!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your previous projects relate to developing enterprise-grade coding agents and how you can contribute to our innovative team at SonarSource.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 this exciting opportunity to work on pioneering technologies.
How to prepare for a job interview at SonarSource
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your previous projects and how you've applied ML in real-world scenarios. This will show that you not only understand the theory but can also drive research into viable products.
✨Show Off Your Python Skills
Since Python is a key part of the role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Get Familiar with Cloud Infrastructure
As the job involves working with cloud infrastructure, it’s a good idea to have a solid understanding of platforms like AWS, Azure, or Google Cloud. Be ready to discuss how you've used these tools in past projects and how they can enhance your work as a research engineer.
✨Communicate Complex Ideas Simply
You’ll need to educate others on complex technical concepts, so practice explaining your work in simple terms. Think about how you would break down a complicated project for someone without a technical background. This skill will be crucial in a cross-disciplinary team.
