AI Scientist

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, 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

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.

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.