AI Research Associate

2 Months ago • 3 Years + • Research Development

Job Summary

Job Description

Sonar is seeking an AI Research Associate to work on pioneering projects that advance the application of AI and ML within software engineering. The role involves conducting cutting-edge research, developing novel algorithms, and contributing to software tools that enhance system performance, reliability, and flexibility. The successful candidate will contribute to creating accessible, user-friendly, and performant solutions integrated with existing infrastructure. Key responsibilities include researching AI/LLM integration with software engineering for code quality and maintenance, designing and implementing prototypes, training and fine-tuning LLMs, and maintaining data pipelines. Collaboration with cross-functional teams and staying updated on AI/ML advancements are crucial.
Must have:
  • Masters degree in Computer Science, Engineering, or related field.
  • At least 3 years of experience as an ML/AI/LLM Engineer or AI Scientist.
  • Strong research background in AI, ML, and SE.
  • Experience with generative AI technologies (e.g., GPT-4, BedRock).
  • Experience developing tools/frameworks using AI/ML for software development.
  • Familiarity with automated code generation and program synthesis using AI/ML.
  • Experience developing and prototyping in Python and R.
  • Understanding of software development processes.
  • Excellent debugging, optimization, communication, and teamwork skills.
  • Excellent problem-solving skills and ability to work independently or in a team.
Good to have:
  • Experience in software engineering domain.
  • Familiarity with techniques for software testing using AI/ML.
Perks:
  • Cigna for employees and dependents (worldwide or worldwide extended).
  • 27 PTO days plus additional days based on seniority and circumstances (Geneva region).
  • Generous discretionary Company Growth Bonus, paid annually.
  • 60% public transport reimbursement for monthly subscription.
  • Global workforce with employees in 20+ countries.
  • Annual international kick-off events.
  • Dynamic work culture valuing respect and kindness.
  • Growth mindset and continuous education support.
  • Flexible work policy (3 days in-office, 2 days remote for office locations; fully remote for Dubai, India, Japan, and Australia).

Job Details

Who is Sonar?

Sonar helps prevent code quality and code 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, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. 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.

We believe in developing great products that are supported by great internal teams and a strong culture.  We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. 

We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. 

And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals.

At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. 

Why You Should Apply: 

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able 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: supercharge developers to build better, faster.

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.

What You Will Do Daily:
  • 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 Experience You Will Need:
  • 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.

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!). 
  • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains. 
  • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely.
  • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them.
  • As the leader in our field, our products and services are as strong as our internal team members.
  • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization.


Benefits of Working With Sonar:
  • Cigna for employees and dependents (WW or WWE). (In-patient, out-patient, maternity, preventive care, dental).
  • We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances.
  • Generous discretionary Company Growth Bonus, paid annually.  
  • Commuting: Public transport reimbursement of 60% for monthly subscription.
  • Global workforce with employees in 20+ countries representing 35+ unique nationalities.
  • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.


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 are submitted through agencies or third party recruiters will not be considered. 

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About The Company

Geneva, Geneva, Switzerland (On-Site)

Austin, Texas, United States (On-Site)

Austin, Texas, United States (Hybrid)

Geneva, Geneva, Switzerland (On-Site)

Austin, Texas, United States (On-Site)

Geneva, Geneva, Switzerland (Hybrid)

Austin, Texas, United States (On-Site)

Austin, Texas, United States (On-Site)

Geneva, Geneva, Switzerland (On-Site)

Geneva, Geneva, Switzerland (On-Site)

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