AI Systems Research Engineer
2 weeks ago
We are seeking a software engineer with a focus on systems research to join our team in advancing AI capabilities for developers. Our company is at the forefront of one of the largest and most demanding applications of large language models (LLMs) globally.
About Codeium
Recognized on the Forbes AI 50 list, Codeium has quickly established itself as a leader in the AI tools sector for developers, providing innovative solutions such as code autocompletion and in-editor chat assistants to a vast user base. Our IDE extensions support over 70 programming languages and 40 different editors. With our cutting-edge proprietary language models and tailored inference systems, we ensure an exceptional user experience. Our significant revenue growth and enterprise engagement reflect the effectiveness and value of our offerings.
As one of the rapidly expanding AI startups, we prioritize product development, revenue generation, and customer satisfaction. Our work environment is characterized by a strong culture of trust, autonomy, and accountability.
Key Responsibilities
- Design and implement custom LLM serving systems along with the necessary datacenter infrastructure to achieve high model quality with minimal latency and cost.
- Enhance our LLM training software through improvements in model architecture that boost quality, speed, and reliability of iterations.
- Create indexing systems capable of delivering instant query responses from extensive datasets within client environments.
- Contribute to the infrastructure supporting petabyte-scale data pipelines to expedite our machine learning research initiatives.
- Proficient software engineering skills are essential; our team does not include pure research scientists.
- Strong quantitative, analytical, and estimation abilities.
- Deep understanding of computer and networking architecture, especially regarding GPU hardware and high-performance computing networks.
- Familiarity with AI-driven developer tools such as Codeium, Copilot, and ChatGPT is highly advantageous.
- We believe that the best work is accomplished in a collaborative in-person environment.
- Research should enhance product quality; while we engage with numerous academic papers, our focus remains on practical application. The most effective AI researchers possess strong software engineering capabilities and recognize the importance of infrastructure and evaluation.
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