Sonar

AI Research Associate

Reposted 7 Hours Ago

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Singapore

Hybrid

Mid level

Cloud • Information Technology • Security • Software

Sonar is committed to enabling developers and organizations to build better code for better software.

The Role

Conduct applied research in AI and ML for software engineering, develop algorithms, and enhance code quality and testing processes.

Summary Generated by Built In

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

The impact you will have

You will work on pioneering projects that advance the application of AI and ML within software engineering. This AI Research Engineer role offers the opportunity to conduct cutting-edge research, develop novel algorithms, and contribute to developing software tools that enhance system performance, reliability, and flexibility. Your work as an AI Engineer will directly impact the efficiency and effectiveness of our AI products, enabling developers to spend less time fixing issues and more time innovating. You will contribute to creating accessible, user-friendly, and performant solutions that integrate seamlessly with our existing infrastructure.

On a daily basis, you will

Conduct applied research in integrating AI/LLM techniques with software engineering practices to improve code quality, testing, and software maintenance.
Design and implement experimental prototypes to demonstrate feasibility of new methodologies.
Training and fine-tuning LLMs (both commercial and open-source) to improve performance
Implement and maintain pipelines to collect high quality large datasets to train/finetune LLMs.
Prepare, analyze and preprocess large datasets of code used to train LLMs
Collaborate with cross-functional teams, including software engineers, and product managers, to translate research findings into practical applications.
Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
Participate in code reviews and provide constructive feedback to other developers/researchers.
Implement best practices from DevOps to maintain a readable codebase, testable infrastructure and documented research artifacts

The skills you will demonstrate

Masters degree (or equivalent) in Computer Science, Engineering, or related field.
At least 3 years of experience as a ML/AI/LLM Engineer or AI Scientist, ideally in Software Engineering.
Strong research background in AI, ML, and SE
Experience working with generative AI technologies (e.g. GPT-4, BedRock)
Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
Familiarity with techniques for automated code generation, program synthesis, and software testing using AI/ML
Experience in developing and prototyping in Python and R
Understanding of software development processes and terminology.
Excellent debugging, optimization skills, communication and teamwork skills
Excellent problem-solving skills and the ability to work independently or as part of a team.

Nice to have

Knowledge of reinforcement learning algorithms and experience with model training
Experience in publishing research papers in top-tier conferences and journals
Familiarity with AWS services such as Lambda, EC2, ECS, SNS, SQS, and RDS is an advantage
Experience using and configuring static analyzers as part of a research project

Why you will love it here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

• We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

• We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

• We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.

We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

Top Skills

AWS

Python

What the Team is Saying

Will

Corporate Controller

“There are so many contributions being made to a company quickly going places... I wake up every day excited to see the impact any individual can contribute to our customers, to our teams around us, and ultimately, to one's career. “

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The Company

HQ: Geneva

597 Employees

Hybrid Workplace

Year Founded: 2008

What We Do

Software-driven digital innovation is essential for competing in today's market, and the foundation of this innovation is code. However, there are widespread cracks in this foundation – lines of bad, insecure, and poorly written code – that manifests into tech debt, security incidents, and availability issues. With Sonar, developers and organizations are empowered to create quality, secure code confidently, whether written by humans or generated with AI.

The Sonar solution, SonarQube, helps prevent code quality and security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it—your internal team or genAI—resulting in more secure, reliable, and maintainable software.

At Sonar, we are driven by a deep belief in our people, a commitment to excellence, and an unwavering dedication to delivery. We operate as a united group where our collective success is the sum of each individual's contributions. Our company culture is driven by the values of CODE: Committed, Obsessed, Deliberate & Effective. This mindset reflects our culture of creativity, collaboration, and pride in the work we do.

Rooted in the open-source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile.

Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Annecy, France; Bochum, Germany, London, England; and Singapore. The company is rapidly growing with over 600 employees!

Join us in our mission to solve the trillion-dollar challenge of bad code!

Why Work With Us

We are a product-first company, all while maintaining a people-first culture. Every employee has the opportunity to grow and learn. We promote from within, provide regular feedback and professional development opportunities, value the right to fail along with respect and kindness and work with team members to achieve their full potential.