Research Engineer Responsibilities:
- Optimize, profile, and improve models for research and for deployment
- Apply relevant AI and machine learning techniques to build intelligent rich code generation products
- Develop novel, accurate AI algorithms and advanced systems for large scale applications
- Define use cases and develop methodology and benchmarks to evaluate different approaches
- Push the boundaries of the capabilities of code generation models beyond the current state of the art
Minimum Qualifications:
- Effective programming skills (Python, C++)
- Currently has, or is in the process of obtaining, a Masters degree with relevant research experience in Computer Science or related fields.
- Solid background on the foundations of machine learning and one of the following domains: NLP or Large Language Models, Reinforcement learning, Deep learning or Neuroscience
- Experience in working on complex machine learning code bases at scale.
- Experience collaborating within a research team to solve complex problems.
Preferred Qualifications:
- Lead-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, CVPR or similar)
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related fields.
- Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions
- Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow).
- Experience in using complex simulation platforms.
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