Machine Learning Engineer

Job Overview: 

Our client is building the next generation answer engine. They  apply LLMs for knowledge search at scale, serving millions of users across the world.

Their current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS.

You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.

You will be doing:

• Develop, train, and optimize machine learning models for recommendation systems.
• Build groundwork infrastructure for retrieval.
• Work with real world data to create scalable feedback loops.
• Incorporate state of the art LLMs into traditional machine learning systems.

Would like you to have:

• Experience with machine learning at scale.
• Experience with retrieval infrastructure.
• Creative problem-solving skills with an ability to explore a new landscape of models.
• Eagerness to build from 0 to 1 and unlock potential in new products.
• Familiarity with big data pipelines for feature engineering.
• At least 6 years of experience with machine learning and backend engineering.

Applicants must be authorized to work in the United States legally.