
Research Engineer for AI Innovation
1 week ago
- As a Research Engineer for AI Innovation, you will be working on pioneering projects that advance the application of AI and ML within software engineering.
- You will conduct cutting-edge research, develop novel algorithms, and contribute to developing software tools that enhance system performance, reliability, and flexibility.
- Our team is passionate about creating solutions that deliver clean code, and we're looking for someone who shares our vision.
- 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.
- Train and fine-tune 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.
- Masters degree (or equivalent) in Computer Science, Engineering, or related field.
- At least 3 years of experience as an 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.
- We are a dynamic company 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 prioritize diversity, equity, and inclusion, and we strive to create a work environment that is welcoming and inclusive for all employees.
- At our company, we recognize the value of different backgrounds and cultures, and we are committed to creating a diverse workforce.
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