What We Do

Rillet serves finance teams. Our customers are the financial brains of their companies. Our job is to help them run the numbers with impossible speed, accuracy, and insight.

Rillet is an AI-native ERP that can drive a zero-day close. We are different because of our unified source-of-truth data model, hundreds of best-in-class native integrations (Stripe, Ramp, Salesforce, etc), automated & auditable workflows, multi-entity consolidation, and quickly expanding army of specialized AI agents (e.g., accrual, audit, P&L flux, board decks, etc). These earn us a consistently perfect customer satisfaction score. High-growth AI customers like Windsurf, Postscript, and Finch love our ship velocity, because their financial stack needs to scale as quickly as they do.

This huge market is ours to take. We have raised $100M from leading investors (including Sequoia, a16z, Iconiq, Oak HC/FT, and First Round) to help everyone run their numbers at the speed of AI.

Who We Are

Rillet’s pace is not for everyone. Intelligence is table stakes. To succeed here, you need extreme speed, agency, and flexibility.

Successful Rilleteers do not wait for assignments. They internalize a mission, design a strategy, and bring back results that are better, faster, and more creative than a manager could have asked for.

Work revolves around our customers. Successful Rilleteers are energized by delivering the most important things, even those that weren’t in the original plan.

In this role, you do not need to be an accountant. But you do need to appreciate the value that our customers can create for their own company when we equip them with the perfect financial tools. Successful Rilleteers love powering the financial core of the world’s fastest-growing companies.

Who We Need

We’re looking for a machine learning engineer to work on the core systems that power Rillet’s AI-driven workflows. You’ll join a growing engineering team and work closely with the CTO, product, and design to build industry-defining accounting and finance software. This is a remote-first role with the option to work from one of our office hubs in New York City, San Francisco, or Barcelona.

What You'll Do

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.

What We're Looking For

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.

Life at Rillet

Competitive Compensation: We're backed by some of the best investors and excited to offer competitive compensation packages, including equity.
Benefits: Competitive healthcare and dental insurance options.
Growth Opportunity: We’re excited to build a team who strives for excellence with big ambitions who will grow in roles, responsibilities, and compensation as we do.
Time to Decompress: Flexible PTO with 9 company-wide holidays.
Remote Friendly: We have offices in San Francisco, New York, and Barcelona. With team members working remotely from all over the world.
Team Building: In-person opportunities that are designed to help team members foster collaboration and build community; our team has had offsites in New York, San Francisco, Toronto, Italy, France, and other International Locations!

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ML/AI Engineer