Responsibilities:

• Designing and building large-scale data pipelines that feed billions of tokens into LLMs.
• Scaling and optimizing LLM training infrastructure for maximum efficiency.
• Ensuring evaluation pipelines are accurate and reliable.
• Enhancing inference infrastructure to reduce costs and latency while maintaining 99.9% uptime.
• Continually improving LLM performance and accuracy.

Qualifications:

• Proven experience with large-scale LLMs and Deep Learning systems.
• Strong programming skills; versatility is a plus.
• Self-starter with a willingness to take ownership of tasks.
• Passion for tackling challenging problems.

Nice-to-have:

• PhD in Machine Learning or related areas
• Experience building distributed systems