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AI Research Engineer

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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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About AI Research Engineer, Sonar

Are you ready to take your expertise in AI to the next level? At Sonar, we're on the lookout for an AI Research Engineer to join our dynamic team based in Singapore! Here at Sonar, we pride ourselves on creating high-quality, clean code solutions that help organizations tackle their coding challenges at the source. You'll be part of pioneering projects that advance the application of Artificial Intelligence and Machine Learning in software engineering. Your days will be filled with exciting tasks like conducting research to improve code quality using advanced AI techniques, designing experimental prototypes, and collaborating with cross-functional teams to turn research findings into real-world applications. Imagine the impact you will have as you train and fine-tune large language models that will empower developers to innovate instead of fix issues. You'll also work on maintaining pipelines for high-quality datasets and implementing DevOps best practices. If you have a Master's degree or equivalent experience, alongside an impressive 3+ years in AI/ML, you're already on the right track. Join us at Sonar, where we are united in our mission to foster a culture of respect, growth, and mutual support, creating tools that developers can depend on every day. It's not just a job; it’s an opportunity to work on groundbreaking solutions in a friendly and enthusiastic atmosphere. Get ready to be part of an international team that values both technical skills and people skills. What are you waiting for? Apply now and be part of something extraordinary!

Frequently Asked Questions (FAQs) for AI Research Engineer Role at Sonar
What are the main responsibilities of the AI Research Engineer at Sonar?

The AI Research Engineer at Sonar has a variety of exciting responsibilities that focus on integrating AI techniques within software engineering. This includes conducting applied research, developing novel algorithms, and collaborating with teams to enhance software tools. You'll also be involved in training and fine-tuning large language models, designing experimental prototypes, and preparing high-quality datasets to optimize AI performance.

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What qualifications are required for the AI Research Engineer position at Sonar?

To qualify for the AI Research Engineer role at Sonar, candidates should hold a Master’s degree or equivalent in Computer Science, Engineering, or a related field. Additionally, at least three years of experience as an ML/AI Engineer or AI Scientist is preferred, including a solid research background in AI, ML, and software engineering practices.

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What kind of projects will I work on as an AI Research Engineer at Sonar?

As an AI Research Engineer at Sonar, you will work on innovative projects focusing on the application of AI and ML technologies to improve coding practices. Expect to engage in tasks such as developing tools to enhance software development processes, building and maintaining experimental prototypes, and staying updated with the latest advancements in AI and software engineering.

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How does Sonar support professional growth for AI Research Engineers?

Sonar strongly believes in fostering a growth mindset among its employees, offering support through continuous education and opportunities to acquire new skills. You'll find a workplace dedicated to your development, with a culture that encourages learning and innovation, which is critical in the rapidly evolving IT landscape.

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What can I expect from the company culture at Sonar as an AI Research Engineer?

The culture at Sonar is one of respect, kindness, and teamwork, where you’ll collaborate with a diverse group of over 550 individuals from various backgrounds. The company places high importance on work-life balance, offering flexible hybrid working options while maintaining a supportive and laid-back atmosphere that encourages open communication and idea sharing.

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Common Interview Questions for AI Research Engineer
Can you describe your experience with AI and machine learning in software engineering?

When responding, highlight specific projects you've worked on that involved AI/ML applications within software engineering. Discuss tools and methodologies you used, problems solved, and the impact of your work, demonstrating your expertise and how it aligns with the role at Sonar.

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What techniques do you use for training and fine-tuning large language models?

Be prepared to discuss the specific algorithms and frameworks you've employed for training and fine-tuning. Provide examples that demonstrate your understanding of the challenges faced and how you overcame them, showcasing your problem-solving capabilities.

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How do you approach conducting applied research in AI?

Describe your research process, including how you identify problems to address, develop hypotheses, and carry out experiments. Emphasize your analytical skills and ability to translate findings into actionable insights, which is crucial for the role at Sonar.

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What experience do you have with generative AI technologies?

Discuss specific generative AI technologies you've worked with, such as GPT-4 or similar frameworks. Highlight any projects that illustrate your ability to innovate using these technologies, including the outcomes achieved and how they relate to Sonar's objectives.

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How do you collaborate with cross-functional teams as an AI Research Engineer?

Share examples of how you've effectively communicated and collaborated with software engineers, product managers, or other stakeholders. Discuss your strategies for ensuring alignment and driving projects forward, which is essential for success at Sonar.

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What strategies do you use to maintain code quality during development?

Outline the best practices you've established for maintaining a clean codebase, such as code reviews, automated testing, and adherence to coding standards. This showcases your commitment to high-quality outputs in line with Sonar’s mission.

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Can you provide an example of a challenging problem you solved using AI?

Select a specific, challenging problem you tackled, and describe how you applied AI techniques to resolve it. Focus on the problem-solving methods and tools used, as well as the impact of your solution, to illustrate your expertise.

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How do you stay updated with the latest advancements in AI/ML?

Discuss your strategies for ongoing learning and staying current, such as following industry publications, participating in online courses, or attending conferences. This demonstrates your commitment to continuous improvement, which aligns with Sonar's values.

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What experience do you have with AWS services relevant to AI ops?

Explain any hands-on experience you've had with AWS services like Lambda, EC2, and others that are applicable to AI model deployment. Highlight specific projects or results that underline your practical knowledge and its significance to the role you’re applying for.

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What role does teamwork play in your success as an AI Research Engineer?

Discuss how collaboration enhances your work as an engineer and share specific examples where teamwork led to successful project outcomes. Highlight your communication and interpersonal skills, emphasizing the value they add within the team at Sonar.

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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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Full-time, hybrid
DATE POSTED
April 17, 2025

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