Senior Machine Learning Engineer

Grab your cape, become a SuperHyro!

Hyro, the leader in Responsible AI Agents for Healthcare, enables health systems to safely automate workflows and conversations across their most valuable platforms, services, and channels - including call centers, websites, SMS, mobile apps, and more. Hyro's clients, which include Intermountain Health, Baptist Health, and Hackensack Meridian Health, benefit from AI agents that are fully HIPAA-compliant, fast to deploy, easy to maintain, and simple to scale - generating better conversations, successful patient outcomes, and revenue-driving insights.

What Are We Looking For?

We’re seeking a passionate Senior Machine Learning Engineer to join our AI team. With a wide array of responsibilities and corresponding impact, you’ll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.

Responsibilities:

• Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
• Design and define data pipelines and evaluation pipelines.
• Build applicative AI in production on a large scale.
• Build solutions for different mediums, including voice products with minimal latency and high accuracy.
• Provide a scientific evaluation of the quality of our models..
• Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
• Use best practices and SOTA from the AI industry, but also push the envelope to new heights.
• A team player with a can-do attitude, delivery-oriented.
  
  

• 5+ years of experience as a machine learning engineer, a data scientist, or an equivalent role. Experience in developing ML / DL / LLM / NLP algorithms.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field, with a significant focus on machine learning.
• High proficiency in Python.
• Excellent understanding of machine learning techniques, algorithms, and methodology.
• Experience with common ML toolkits, such as Pandas, Scikit-learn, Tensorflow, and more.
• Experience in data mining and insight drawing from large data sets.
• Data-oriented personality, analytical mind, and problem-solving aptitude.
• Experience in Constraint programming or Network science - an advantage.
• A team player with a can-do attitude, delivery-oriented.
• Experience and knowledge in the NLP domain and SOTA solutions - a plus.