Founding Machine Learning Engineer

About this role

Shepherd is seeking a pioneering Machine Learning Engineer to join their Fully Autonomous Underwriting team in San Francisco. This role involves building and refining ML systems from scratch, aimed at revolutionizing the commercial insurance process for high-hazard industries by enabling rapid and automated underwriting decisions.

What you'll do

• Design, build, and deploy ML systems for autonomous underwriting
• Collaborate with underwriters to integrate domain knowledge into ML solutions
• Manage the full lifecycle of ML from data collection to production
• Ensure continuous improvement of ML models through feedback loops
• Establish an ML platform and model registry
• Drive advancements in underwriting autonomy

What they're looking for

• Machine learning expertise
• Experience with ML lifecycle management
• Strong programming skills
• Data analysis and manipulation
• Collaboration with cross-functional teams
• Problem-solving
• Understanding of underwriting processes
• Adaptability in high-ambiguity environments

Benefits

• Opportunity to define the ML function from the ground up
• High-ownership role with significant impact
• Work with a passionate team in a growing field
• Engagement in innovative technology development
• Participation in a mission-driven company
• [unknown]