Machine Learning Engineer, Answers Knowledge and Information - Proactive

What you'll do

• Develop, fine-tune, and evaluate domain-specific LLMs for NLP tasks such as summarization, question answering, ranking, entity linking, and query understanding.
• Research and build systems that retrieve, rank, and synthesize information, including summarization of personal data.
• Translate product requirements into modeling and engineering tasks and help bring generative AI research into production.

What they ask for

• 10 years of work experience in machine learning, deep learning, or a related field.
• 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, 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.
• Experience with LLM fine-tuning techniques, cross-functional project leadership, large-scale model training and deployment, or a track record of shipping advanced ML models.

Pay

$175,000 and $308,500 USD base salary

Tools

Python, TensorFlow, PyTorch, JAX, Large Language Models (LLMs), RAG, LoRA, RLHF

AI focus

Develop and apply generative AI and LLMs for open-domain question answering, search, summarization, query understanding, and personal-data summaries; fine-tune and evaluate domain-specific models and transfer research into production.