Machine Learning Scientist for AI Code Solutions
SonarSourceBochum
On-site Full-time
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Experience Level
Mid to Senior
Qualifications
Qualifications:Proven experience in machine learning and AI methodologies. Strong understanding of Large Language Models and their applications in programming. Proficiency in programming languages such as Python, Java, or similar. Experience with software development and code analysis tools. Ability to work collaboratively in a dynamic team environment.
Why You Should Consider Joining Us:
At Sonar, we are a passionate team of talented professionals dedicated to empowering organizations to develop responsible, secure, and high-quality code efficiently and systematically. Our focus is on creating solutions that tackle the root causes of challenges, specifically within the source code.
Our vibrant culture spans across global offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe in providing our employees with a workspace where they can take pride in their contributions, enjoy their work, and thrive alongside their colleagues. With deep roots in the open-source community, our mission is clear: to deliver solutions that ensure Clean Code.
Your Impact at Sonar:
We are on the lookout for a visionary Machine Learning Scientist to join our Data & AI team and lead the charge in developing the next generation of our code analysis engine. You will be at the cutting edge of leveraging advanced AI and Large Language Model (LLM) methodologies to address the intricate challenges of source code analysis. Your contributions will fundamentally influence our products, enhancing the capabilities of static analysis and enabling millions of developers to create better, more secure code. If you are passionate about transforming groundbreaking research into practical, high-impact solutions, this is the perfect opportunity for you.
About SonarSource
SonarSource is a forward-thinking company committed to helping organizations enhance their code quality through innovative technology solutions. With a diverse team worldwide, we foster an inclusive environment that values creativity and collaboration.
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