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Machine Learning Scientist

SonarSource

SonarSource

Software Engineering
Geneva, Switzerland
Posted on Friday, September 1, 2023
Sonar solves the trillion-dollar challenge of bad code. Sonar equips organizations to achieve and sustain a Clean Code state by empowering developers to write consistent, intentional, adaptable, and responsible code. Clean Code produces software that is maintainable, reliable, and secure, allowing development teams to spend less time fixing issues and more time innovating. With Sonar, and by employing the company’s Clean as You Code methodology, organizations minimize risk, reduce technical debt, increase productivity, and derive more value from their software in a predictable and sustainable way.
Sonar’s open-source and commercial products – SonarLint, SonarCloud, and SonarQube – support over 30 programming languages, frameworks, and infrastructure technologies. Trusted by more than 500,000 organizations and used by more than 7 million developers globally to clean more than half a trillion lines of code, Sonar is integral to delivering better software.
Sonar is looking for a passionate Machine Learning Scientist who loves to explore ways to improve our products by combining static code analysis with machine learning. You will be part of our Research & Development team that drives the innovation of our code analysis technologies.
What your future team would like you to know
The R&D team is a new team at SonarSource established after the acquisition of RIPS Technologies. RIPS was known as a technology leader in static application security testing and for its fast and accurate SAST approach. With joint forces and tech expertise at SonarSource, we continue to provide the leading code analysis products for developers. Join us in this fun adventure and take a unique opportunity to help build the best code analyzers in the world!
The impact you will have
With your domain expertise and experience you will shape an innovative R&D team at Sonar. You will explore state-of-the-art approaches and new ideas that help to push our code analysis technology and features beyond the limits. By implementing and testing visionary prototypes, you are preparing the next generation of our cutting-edge products that are loved by millions of developers around the globe.

In this role, you can expect to

  • Have fun in a creative team that shares your passion and interest in code analysis technologies
  • Stay up-to-date with the latest academic research and industry trends related to machine learning and deep learning on code
  • Understand the inner workings and limitations of our static analysis technologies
  • Identify, discuss, and qualify new innovation opportunities using ML that are feasible in practice and applicable to our products
  • Automate data gathering to build specialized ML models that advance our technologies
  • Prototype and evaluate new ML models that solve real-world problems and satisfy our customer needs

The skills you will demonstrate

  • You have a scientific background by receiving a doctorate or master’s degree in computer science or a related field
  • You have practical industry experience in software development and a solid understanding of software engineering concepts, workflows, and tools
  • You have solid programming skills in Python; experience with Java is a plus
  • You have basic knowledge of large-scale data processing and related data infrastructure (AWS)
  • You have hands-on experience with implementing various state-of-the-art ML/DL techniques, ideally for NLP or PLP
  • Basic knowledge of common code issues (bugs, errors, vulnerabilities) and parsing code is a plus
  • You can think outside the box and turn abstract, theoretical ideas into practical, feasible solutions for our users autonomously
  • You are fluent in English, both written and spoken, and are able to understand and explain complex technical and scientific topics
Why you will love it here
• We value a safe work culture - founded in respect, kindness, and the right to fail.
• We hire great people - we value communication skills as much as technical prowess and we strive to create a work environment that allows for everyone to succeed and feel empowered to do their best work. Our 500+ SonarSourcers from 35 different nationalities can relate!
• Work-life balance - a healthy work-life balance is very important at Sonar.
• Flexible hours - we schedule our days in order to be effective at work, while also being able to enjoy life’s important moments.
• We promote continuous learning - in an ever-changing industry, learning new skills is the key to growth and success! We're happy to support all employees in this journey if desired.
What we do
As Home of Clean Code, Sonar is the ultimate solution to achieving Clean Code for developers and organizations alike.
The company was formed to develop the open-source tool SonarQube, which has since become the go-to standard in code quality management. We strive every day to pave the way for developers, tackling the toughest issues head-on and pushing the limits of what’s possible.
Who we are
At Sonar we believe in people, dedication, and innovation. We’re a team of problem solvers who are passionate and relentless in their respective missions. We want to work with people who are ready and willing to fasten their seat belts and be part of an incredible ride!
Our Core Values are: Smarter Together, Excellence, Innovation, and Delivery. They reflect our unique culture and we expect them to help shape and positively strengthen our organization.
If you want to learn more about our culture, check out our blog post.
Join us; we’ll be smarter and stronger together!
Sonar is an equal-opportunity employer and is committed to treating every employee with equal respect and fairness. We maintain a zero-tolerance policy toward any form of discrimination. All candidates will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, veteran status, disability, or any other legally protected status.