We are seeking an experienced ML Engineer to join our team and help us develop and deploy large-scale language models (LLMs) to power our knowledge discovery platform. As a member of our team, you will be responsible for training and inference infrastructure that supports our in-house LLMs.
Responsibilities:
- Train LLM at scale
- Design and implement evaluation pipelines to ensure accuracy and efficiency
- Curate and manage large-scale data pipelines
- Optimize inference infrastructure for latency and costs
- Research and propose cutting-edge LLM solutions to improve performance and accuracy
Requirements:
- Proven track record of working with LLMs and neural information retrieval
- Strong programming and engineering skills
- Passion, independence, and a willingness to take ownership of tasks
- Passion for solving challenging problems
Nice to have:
- PhD in Machine Learning or related areas
- Experience building distributed systems
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