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AI Scientist

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.

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Olivier Gaudin
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Average salary estimate

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What You Should Know About AI Scientist, Sonar

As an AI Scientist at Sonar in Singapore, you will join a passionate team dedicated to revolutionizing software engineering with cutting-edge AI and ML techniques. Your role will be pivotal as we strive to create tools that enhance code quality and development processes. At Sonar, we believe in tackling problems at their root, transforming how organizations develop secure and reliable software. You’ll work on advanced projects that push the boundaries of AI, developing novel algorithms that seamlessly integrate into our infrastructure. Daily tasks include conducting applied research in integrating AI/LLM techniques, designing experimental prototypes, and collaborating with cross-functional teams to translate findings into practical applications. You'll also have the opportunity to train and fine-tune large language models, ensuring our solutions become more efficient and effective. With a dynamic and inclusive culture, you will find yourself surrounded by supportive colleagues who value creativity and innovation. At Sonar, we celebrate diversity and promote a healthy work-life balance to help you thrive in your career while maintaining a fulfilling personal life. If you're inspired to make lasting impacts in the tech world while working alongside some of the brightest minds in the industry, this role is perfect for you!

Frequently Asked Questions (FAQs) for AI Scientist Role at Sonar
What responsibilities does an AI Scientist have at Sonar?

An AI Scientist at Sonar plays a crucial role in conducting applied research focused on integrating AI/LLM techniques with software engineering practices. Key responsibilities include designing experimental prototypes, training and fine-tuning large language models, and collaborating with software engineers and product managers to translate research into practical applications. This role is essential for enhancing the quality and efficiency of our AI products.

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What qualifications are necessary for the AI Scientist position at Sonar?

To qualify for the AI Scientist role at Sonar, candidates should possess a Master’s degree or equivalent in Computer Science, Engineering, or a related field. Additionally, a minimum of 3 years of experience in machine learning or AI, particularly in software engineering, is essential. Familiarity with generative AI technologies, Python or R development, and a strong research background are key components that will make a candidate stand out.

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What is the work culture like for AI Scientists at Sonar?

The culture at Sonar is dynamic and inclusive, focused on respect and collaboration. AI Scientists are encouraged to embrace a growth mindset, participate in continuous learning, and share ideas freely. The company promotes a healthy work-life balance and offers flexible working policies that include both remote and in-office options, enhancing overall team spirit and productivity.

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How can an AI Scientist contribute to the mission of Sonar?

An AI Scientist at Sonar significantly contributes to the company’s mission of delivering Clean Code by developing innovative solutions that improve code quality and facilitate efficient software development processes. Through cutting-edge research and collaboration, AI Scientists help create user-friendly tools and reliable algorithms that empower developers, redirecting their focus towards innovation rather than troubleshooting.

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What opportunities for growth and development exist for AI Scientists at Sonar?

Sonar is committed to professional development for all employees, particularly AI Scientists. The company prioritizes continuous education, offering resources and support for mastering new skills in an evolving field. Additionally, AI Scientists may have opportunities to publish research findings in top-tier conferences, enhancing their professional profiles while advancing the company’s innovative presence in the industry.

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Common Interview Questions for AI Scientist
Can you describe your experience with AI and ML technologies?

Be prepared to discuss specific projects where you've implemented AI or ML, highlighting your role in the process, the technologies used, and the results achieved. Explain how your experience aligns with Sonar’s mission to enhance software quality.

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How do you approach conducting applied research in AI?

Share your methodology for conducting research, including how you identify relevant problems, design experiments, and apply findings. Illustrate your past experiences where your research contributed to a project, particularly in a software context.

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What frameworks or tools do you typically use in your AI projects?

Discuss the specific tools and frameworks you are familiar with, such as TensorFlow, PyTorch, or specific libraries for natural language processing. Relate how your experience with these tools will be applicable in your role at Sonar.

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Can you explain a challenging problem you solved using AI methods?

Provide a concise case study of a challenging problem, detailing the strategies you employed and why they were effective. This will demonstrate your problem-solving skills and ability to think critically under pressure.

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How do you ensure the quality and performance of AI models?

Discuss your approach to model evaluation, the metrics you consider important, and how you maintain performance over time. Share any experiences you have in fine-tuning models and methodologies that you believe could benefit Sonar.

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What role does collaboration play in your work as an AI Scientist?

Elaborate on your collaborative experiences, detailing how effective communication and teamwork have driven successful project outcomes. Highlight any experience working with cross-functional teams similar to those at Sonar.

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What are your thoughts on the latest trends in AI and ML?

Stay informed about recent advancements in the field and discuss your insights on trends like generative AI or automated testing. Illustrate how these trends could integrate with Sonar’s products and mission.

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How do you handle continuous learning in the rapidly changing field of AI?

Share your strategies for staying current with industry trends, such as attending workshops, online courses, or reading relevant publications. Emphasize your commitment to professional growth and how this aligns with Sonar's focus on continuous education.

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What is your experience with DevOps in AI model deployment?

Discuss your understanding and experience with DevOps practices, particularly how they relate to AI model deployment and maintenance. Highlight your approach to implementing best practices that ensure efficient and reproducible workflows.

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How do you approach feedback during code reviews?

Talk about your mindset towards constructive criticism, emphasizing your openness to feedback and how you use it to improve your work. Share experiences where feedback led to significant enhancements in your outputs.

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As a company, we aim to have every developer and development team using our products for their code quality and security. The founders believed that building a great place to work with a strong culture would help us make this goal come true in fos...

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DATE POSTED
April 17, 2025

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