Traveltechessentialist is seeking a skilled Principle Machine Learning Engineer to enhance AI-driven products. Located in the US, the role involves fine-tuning advanced LLMs and collaborating with cross-functional teams. These initiatives aim to improve customer experiences through innovative AI solutions. Ideal candidates should have a PhD and over 10 years in machine learning, proficient in Python and PyTorch. The position offers remote eligibility with competitive pay, ranging from $248,000 to $310,000, plus benefits.
Qualifications
10+ years experience with developing machine learning models and products at scale.
Experience with frameworks such as PyTorch.
Proven record of training and fine-tuning LLMs.
Responsibilities
Fine-tune state-of-the-art LLMs for various use cases.
Work with large-scale structured and unstructured data.
Drive AI architectural decisions for products.
Skills
Machine Learning
Artificial Intelligence
Python
PyTorch
LLM fine-tuning
Education
PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field
Job description
Traveltechessentialist is seeking a skilled Principle Machine Learning Engineer to enhance AI-driven products. Located in the US, the role involves fine-tuning advanced LLMs and collaborating with cross-functional teams. These initiatives aim to improve customer experiences through innovative AI solutions. Ideal candidates should have a PhD and over 10 years in machine learning, proficient in Python and PyTorch. The position offers remote eligibility with competitive pay, ranging from $248,000 to $310,000, plus benefits.