Machine Learning Engineer, Answers Knowledge and Information

What you'll do

• Develop and fine-tune domain-specific Large Language Models for NLP tasks like summarization and question answering.
• Conduct research to translate cutting-edge generative AI findings into production-ready technologies.
• Improve Open Domain Question Answering using structured knowledge graphs and unstructured web data.
• Develop models to retrieve and rank relevant documents across multiple sources based on user intent.
• Research and develop LLMs for summarizing personal data such as emails, messages, and notifications.
• Translate product requirements into specific modeling and engineering tasks.
• Evaluate model performance for search relevance, entity linking, and query understanding problems.
• Implement safety guardrails and techniques to reduce hallucinations and improve factual accuracy.

What we're looking for

• Experience in modeling user behavior including personalization, online learning, and recommendation systems.
• Experience in machine learning or LLM development for NLP tasks and RAG applications, including prompt engineering and fine-tuning.
• Experience working with Python and at least one deep learning framework such as TensorFlow, PyTorch, or JAX.
• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (preferred).
• At least 2 years of experience in state-of-the-art techniques related to LLM fine-tuning (preferred).
• Consistent track record of researching, inventing, and/or shipping advanced machine learning models (preferred).
• Outstanding communication and interpersonal skills with the ability to work with cross-functional teams (preferred).