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

• Help define Rillet’s ML and AI direction for years to come.
• Collaborate closely with product managers, engineers, designers, and finance experts to define ML solutions, not just build them.
• Deeply understand user problems and find the best methodology to solve them.
• Develop automated pipelines and processes to train and evaluate models.
• Integrate ML/AI models into production systems and ensure their scalability, reliability, and performance.

Requirements

• 3+ years of relevant professional experience in product-driven tech companies.
• Strong Python experience (numpy, pandas, sklearn, pytorch, etc.) across ML techniques and backend engineering.
• 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)
• Can work both independently and collaboratively in a small team.
• Enjoy finding practical solutions to real user problems without compromising on quality.
• Have a passion for learning and sharing your expertise with others.

Benefits

• Work in an early-stage startup with a big vision.
• Remote first with opportunities to travel for team events.
• Collaborate with a passionate team.
• Impactful work that influences financial decision-making.