What you'll do:

• Design methods, tools, and infrastructure to push forward the state of the art in large language models
• Deploy, monitor, and manage ML models in production, ensuring high availability and low latency.
• Manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools
• Define research goals informed by practical engineering concerns
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

What makes you a great fit:

• Minimum 5 years of experience in Generative AI and NLP with experience in areas like language model evaluation
• Master's degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience
• Research experience in machine learning, deep learning, and/or natural language processing
• Experience with developing machine learning models at scale from inception to production
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Proficient in leveraging LangChain for the development and integration of large language models (LLMs) into diverse applications, demonstrating a strong ability to enhance AI functionalities through innovative uses of natural language processing and understanding.
• Exposure to architectural patterns of large-scale software applications
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment