Senior ML Engineer - Healthcare AI & LLMs Lead

Autonomize, Inc; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

100% employer-paid health, vision, and dental insurance

Retirement plans (401k)

Competitive compensation and benefits

Job summary

Autonomize, Inc, located in Austin, is seeking a Senior Machine Learning Engineer who will lead the development and deployment of machine learning solutions aimed at revolutionizing healthcare. You will fine-tune large language models, develop vision-based data approaches, and enhance classic NLP models.

The ideal candidate has 5-7 years of experience in machine learning engineering and is well-versed in technologies like TensorFlow and PyTorch. The position offers competitive compensation, 100% employer-paid health insurance, and a chance to make an impact in the future of healthcare.

Qualifications

• 5-7 years in machine learning engineering in healthcare.
• Experience with large language models and NLP technologies.
• Proven model deployment in production environments.

Responsibilities

• Lead development of machine learning solutions focusing on healthcare.
• Mentor junior engineers and conduct rigorous testing of models.
• Ensure efficient model deployment and integration in healthcare systems.

Skills

Large language models (LLMs)

Computer Vision

Natural Language Processing (NLP)

Python

ML libraries/frameworks (TensorFlow, PyTorch)

MLOps and LLMOps

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field

Tools

TensorFlow

PyTorch

OpenCV

mlflow

kubeflow

Job description

Autonomize, Inc, located in Austin, is seeking a Senior Machine Learning Engineer who will lead the development and deployment of machine learning solutions aimed at revolutionizing healthcare. You will fine-tune large language models, develop vision-based data approaches, and enhance classic NLP models.

The ideal candidate has 5-7 years of experience in machine learning engineering and is well-versed in technologies like TensorFlow and PyTorch. The position offers competitive compensation, 100% employer-paid health insurance, and a chance to make an impact in the future of healthcare.