Data Science Engineer

3 weeks ago


Santa Ana, California, United States First American Full time
About the Role
Are you a highly skilled Data Science Engineer with a passion for Artificial Intelligence? Do you have experience in building and maintaining large-scale machine learning platforms?
We are seeking a talented individual to join our team as a Senior Machine Learning Specialist. In this role, you will be responsible for designing and implementing deep learning-based transformer-based machine learning models in the areas of Natural Language processing (NLP) and Computer Vision (CV). You will also build and manage the infrastructure on cloud to deploy Machine Learning models in production in conformance with organization's security and compliance needs.
As a Large Language Model Developer, you will work closely with cross-functional teams to integrate LLMs, vector databases, and semantic search capabilities into production systems. Your strong knowledge of software engineering principles, experience with at least one programming language, and familiarity with containerization and orchestration tools will be valuable assets in this role.

About Us
First American is a leading provider of property-centric information, analytics, risk management, and valuation solutions. We boast over 20 patents and remain at the forefront of innovation, leveraging technology and data to deliver best-in-class decisioning solutions. Our inclusive, people-first culture has earned us numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for nine consecutive years.

What We Offer
We offer a comprehensive benefits package, including medical, dental, vision, 401k, PTO/paid sick leave, and other great benefits like an employee stock purchase plan. As a company that values diversity, equity, and inclusion, we provide a welcoming environment where all feel supported and empowered to reach their full potential.

Salary Range
$126,100 - $168,100 Annually
Pay is based on a number of factors, including job-related knowledge, skills, experience, business requirements, and geographic location.

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