Machine Learning Engineer

The role

You will own the models inside Kepler's AI research platform, including training, evaluation, and extraction systems. You will manage model choice, fine-tuning, and model routing to ensure reliable outputs for financial professionals.

What you will do

• Own the models inside Kepler's AI research platform
• Manage which model runs each task
• Handle training, evaluation, and extraction systems
• Fine-tune small models on high-volume extraction tasks
• Build an eval harness to score agent research runs
• Redesign model routing across workflows
• Systematically improve workflow success rates through better tools, verification, or models
• Own systems end-to-end

Required qualifications

• 5+ years building production software
• Shipped ML systems to production (fine-tuning, agents, retrieval, structured extraction)
• Strong general engineer

Nice to have

• Rust experience

Benefits

• 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families
• HSA maxed by the company to the IRS limit
• Automatic coverage for life, AD&D, and disability insurance
• Daily lunch in office
• Unlimited PTO policy
• Development environment budget including MacBook Pro, monitors, ergonomic setup, and development tools
• Build anything budget for tools, libraries, datasets, or infrastructure
• Learning budget for conferences, courses, or programs

About the company

Kepler is an agent harness providing an infrastructure layer to make AI outputs reliable, traceable, and verifiable. The founding team includes former Palantir and Meta engineers.