Machine Learning Engineer - Remote

Overview

At Rillet, we’re changing the way high-growth companies make financial decisions. Our goal is to make zero day close a reality. No more reporting 10 days after quarter end, report day ZERO. Rillet is a next-gen accounting platform purpose built to automate end-to-end accounting workflows. In practical terms, information from CRM, billing, AP, payroll, etc. is synced instantaneously with Rillet, and 93% of journal entries are booked without human intervention. CEO, CFO, and finance teams can finally focus on making impactful financial decisions, while leaving Rillet run the numbers.

In Short

• Join a growing engineering team at Rillet, a next-gen accounting platform.
• Work closely with the CTO, product, and design teams.
• Help define Rillet’s ML and AI direction.
• Collaborate with product managers, engineers, designers, and finance experts.
• Develop automated pipelines for training and evaluating models.
• Integrate ML/AI models into production systems.
• Remote-first role with opportunities for team events.
• Focus on solving real user problems with quality solutions.
• Be part of an early-stage startup with a big vision.
• Contribute to impactful financial decision-making tools.

Requirements

• 3+ years of relevant professional experience in product-driven tech companies.
• Strong Python experience (numpy, pandas, sklearn, pytorch, etc.).
• Experience with LLM-based agent frameworks.
• Bachelor's degree in Computer Science or related field (required).
• Advanced degree (Master’s or Ph.D.) in Artificial Intelligence (preferred).
• Able to work independently and collaboratively.
• Enjoy finding practical solutions to real user problems.
• Passionate about learning and sharing expertise.

Benefits

• Medical, dental, and vision insurance.
• Remote-first culture built on trust, autonomy, and high performance.
• Paid time off and opportunities for professional development.
• Team offsites and gatherings in various locations.
• Equity ownership in a fast-growing early-stage startup.