Full-Time

Senior Machine Learning Engineer

Posted on 6/8/2024

Clearcover Insurance

Clearcover Insurance

201-500 employees

AI-powered car insurance with fast claims

AI & Machine Learning
Consumer Goods
Data & Analytics

Senior

Remote in USA

Required Skills
Python
Data Science
SQL
AWS
Requirements
  • 3+ years of experience as a Machine Learning, Data, or MLOps Engineer, or as a data-centric Software Engineer
  • 3+ years of all-around software development experience in Python
  • Proficiency in SQL for reporting, analysis, and data extraction
  • Significant experience with popular Python data science and machine learning libraries
  • Hands-on experience with AWS or a similar cloud vendor
  • Ability to communicate complex topics with technical and non-technical audiences
Responsibilities
  • Work across teams with stakeholders to understand, define, and plan for solutions to their business problems
  • Deploy and manage feature store, machine learning models, inference services, and generative AI to production
  • Architect cloud infrastructure and workflows to support demands requiring scalable and efficient combinations of LLMs, Python, AWS, and (no-)SQL databases
  • Own independent research initiatives to solve real-world business problems
  • Support and scale models while ensuring highly available and durable services

Clearcover offers next-gen car insurance with a focus on fast claims and easy policy management, powered by their unique claims AI technology that can pay eligible claims in minutes. Their API-first approach and mobile app provide a seamless and affordable insurance experience, leveraging advanced AI technology for quick and efficient claims processing.

Company Stage

Series E

Total Funding

$496.2M

Headquarters

Chicago, Illinois

Founded

2016

Growth & Insights
Headcount

6 month growth

-8%

1 year growth

-37%

2 year growth

-41%

Benefits

Medical, dental, & vision

Pre-tax benefits, disability, & life insurance

401k with 3% match

Generous vacation

Parental leave

Equity

Employee resource groups

Top-of-the-line hardware

INACTIVE