Senior Machine Learning Engineer

We are looking for a skilled and passionate Senior Machine Learning Engineer to join our Financial Statement Suite team. We are transforming the way financial statements are processed and analyzed. Our mission is to automate document workflows and create intelligent systems that ensure consistency, accuracy, and efficiency in financial reporting.

About DataSnipper:

DataSnipper, is the driving force behind an intelligent automation platform that’s transforming the world of audit and finance. Founded in 2017, DataSnipper has skyrocketed and has now officially become a unicorn company with a valuation of $1 billion following a successful funding round by Index Ventures.

The recent acquisition of AI-native UpLink, a cloud-based secure document request portal, and the launch of DocuMine, a new AI-powered document validator, dramatically expand DataSnipper’s goal to build a comprehensive AI-powered audit ecosystem with global impact. With over 500.000 users in 125+ countries and offices in Kuala Lumpur, Amsterdam and New York, DataSnipper is shaking things up. And we’re not stopping there!

What you will do:

• Design and deploy machine learning solutions, with a focus on natural language processing (NLP) and document understanding

• Design and implement end-to-end production grade ML solutions: Take ownership of deploying ML models, pipelines, and infrastructure

• Harness AI and a comprehensive range of ML libraries and frameworks to automate, maintain and improve how we implement our AI solutions

• Collaborate effectively with stakeholders and various development teams to align our ML solutions with the business goals and user needs

• Contribute to the advancement of ML/AI knowledge: Engage in research and development activities to stay ahead of the latest ML/AI advancements and apply them to enhance our product offering

What you bring:

• At least 5 years of experience as a ML Engineer

• BS or higher degree in Computer Science or equivalent

• Strong experience in NLP, with a focus on document processing

• Familiarity with financial statements, particularly iXBRL is highly desirable

• Expertise in building and utilizing knowledge graphs, such as Neo4j or similar tools

• Demonstrated machine learning skills, including data analysis, model training and fine-tuning.

• Solid engineering capabilities, including building data pipelines and writing clean, scalable backend code.

• Experience with computer vision, particularly OCR

• Proven ability to build systems and processes from scratch

• Comfortable working independently and collaborating with ML engineers and cross-functional teams.

• Strong ownership mindset with a willingness to explore new ideas

What we offer:

• Being part of one of the fastest-growing scale-ups in the Netherlands

• Make an impact by disrupting the audit industry with us

• 28 vacation days on a full-time basis

• Excellent salary

• Pension plan

• Stock participation plan

• Hybrid mode of work

• A flexible and growing organization with lots of opportunities to learn and develop.

• International working environment, with a team of friendly and driven colleagues

• Office in Amsterdam with daily lunch included ( we have a chef cooking for us)

• Access to OpenUp, the mental health and wellness platform

• Friday drinks and multiple social activities for team building 🤩