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The Impact You Will Have:
You will work on pioneering projects that advance the application of AI within the realm of software engineering. This role offers the opportunity to conduct cutting-edge research, develop novel algorithms and contribute to the development of software tools that enhance system performance, reliability, and flexibility. Your work 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 the creation of 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/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
- Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.
- Collaborate with cross-functional teams, including AI researchers, 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.
- Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.
- 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:
- Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.
- At least 3 years of experience as a Research Engineer, 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.
- Experience in developing and prototyping in Python and R
- Understanding of software development processes and terminology.
- Familiarity with techniques for automated code generation, program synthesis, or software testing using AI/ML
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent communication skills for conveying complex technical concepts
- 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:
- Masters degree (or equivalent) in Computer Science, Engineering, or related field.
- 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
We Value Diversity, Equity, and Inclusion:
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures.
We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, 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 precise results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
Sonar Singapore, Singapore, SGP Office
Sonar Singapore Office Office
7 Straits View #19-05 Marina One East Tower , Singapore, Singapore, 018936
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
