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Machine Learning Scientist - AI for Code

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Experience with machine learning algorithms and data analysis. Strong programming skills in languages such as Python, Java, or C++. Familiarity with AI and LLM frameworks. Ability to work collaboratively within a team and communicate complex ideas clearly. Passion for coding and a desire to improve code quality.

About the job

Why You Should Consider Joining Us:

At Sonar, we are a passionate team of highly skilled professionals committed to empowering organizations to develop responsible, secure, and high-quality code swiftly and systematically. Our solutions tackle the root causes of problems directly within the source code, rather than merely addressing the symptoms.

We foster a vibrant culture that spans across the globe, with hub offices located in the USA, Switzerland, the UK, Singapore, and Germany. We believe in creating an environment where our team members can take pride in their work, feel motivated by their colleagues, and enjoy what they do every day. With strong ties to the open-source community, our mission revolves around delivering solutions that embody Clean Code principles.

Your Impact:

We are on the lookout for a forward-thinking Machine Learning Scientist to join our Data & AI team in revolutionizing our code analysis engine. You will leverage advanced AI and Large Language Model (LLM) methodologies to dive deep into the intricacies of source code. Your contributions will be pivotal in enhancing our products, enabling millions of developers to craft better, more secure code. If you are eager to transform cutting-edge research into impactful, real-world solutions, this role is perfect for you.

About SonarSource

SonarSource is dedicated to providing innovative solutions that promote clean and maintainable code practices across the software development lifecycle. Our team is comprised of experts who are passionate about improving code quality and security through advanced technology and a commitment to open-source principles.

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