Machine Learning Engineer, Answers Knowledge and Information - Proactive

What you'll do

• Research, develop, fine-tune, and evaluate LLMs for NLP tasks such as summarization, question answering, search ranking, entity linking, and query understanding.
• Translate product requirements into modeling and engineering tasks, and transfer generative AI research into production-ready technologies.
• Work with researchers and data scientists to build domain-specific models and improve answers using structured and unstructured information.

What they ask for

• Experience modeling user behavior, including personalization, online learning, and recommendation systems.
• Experience developing machine learning or LLM models for NLP tasks and RAG applications, including prompt engineering, training data collection and generation, fine-tuning, and evaluation.
• Experience with Python and at least one of TensorFlow, PyTorch, or JAX.

Nice to have

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• At least 2 years of experience with LLM fine-tuning techniques, advanced machine learning research or deployment, and cross-functional communication.

Pay

$150,400 and $277,600 USD (base salary)

Tools

Python, TensorFlow, PyTorch, JAX, Large Language Models, RAG, RLHF, LoRA

AI focus

Research and develop LLMs and other machine learning models for NLP, personalization, search, question answering, summarization, and production AI features.