S

LLM Engineer Closed

Sonar · Singapore · Full-time

3+ years Posted 11 Mar 2025
Closed

Quick Summary

  • Conduct applied research in integrating AI/LLM techniques with software engineering practices.
  • Design and implement experimental prototypes to demonstrate feasibility of new methodologies.
  • Collaborate with cross-functional teams to translate research findings into practical applications.

Job Insights

⏱
Time open
59 days
🔄
Times reposted
0 times

Full Description

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 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/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

    • This role has closed

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