Rillet is changing the way high-growth companies make financial decisions by aiming for zero day close reporting.
The company is a next-gen accounting platform that automates end-to-end accounting workflows.
Information from various sources like CRM, billing, AP, and payroll is synced instantaneously with Rillet, allowing 93% of journal entries to be booked without human intervention.
The company has raised $38.5 million from notable investors and is looking for passionate individuals who strive for excellence.
The role of a machine learning engineer involves working on core systems that power Rillet’s AI-driven workflows.
The position is remote-first, with opportunities to travel for team events.
Responsibilities include defining Rillet’s ML and AI direction, collaborating with various teams to define ML solutions, understanding user problems, developing automated pipelines for model training and evaluation, and integrating ML/AI models into production systems.
Requirements:
Candidates must have 3+ years of relevant professional experience in product-driven tech companies.
Strong experience in Python, including libraries such as numpy, pandas, sklearn, and pytorch, is required across ML techniques and backend engineering.
Experience with LLM-based agent frameworks is necessary.
The ability to work both independently and collaboratively in a small team is essential.
Candidates should enjoy finding practical solutions to real user problems without compromising on quality.
A passion for learning and sharing expertise with others is important.
Benefits:
Employees receive medical, dental, and vision insurance.
The company promotes a remote-first culture built on trust, autonomy, and high performance.
Paid time off and opportunities for professional development are provided.
Team offsites and gatherings are organized in locations such as New York, San Francisco, and international destinations.
Employees have the opportunity for equity ownership in a fast-growing early-stage startup.
