Software Engineer (ID Verification - Machine Learning team)

Job description

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt. As a Software Engineer embedded in our IDV ML team you bring strong, hands-on software engineering to a team of machine learning engineers. You act as the bridge between ML research and production-grade software. SEON relies on a product-led growth approach. **WHAT YOU’LL DO:** - Contribute to the ID Verification ML team, building in-house ML solutions - Deliver high-quality NodeJS, TypeScript and Python code with simplicity, performance and scalability in mind - Design, build, and maintain ETL/data pipelines that turn raw data into clean, labeled, versioned training datasets - Build and operate data-intensive backend services across training and eval workflows - Support ML model packaging, delivery, and serving into production - Partner closely with machine learning engineers to translate research prototypes into high-quality, well-tested, production-ready code - Provide expertise, review pull requests and help raise engineering practice across a fast-moving, research-heavy team - Design technical implementations, break down features into development stories, and provide estimates - Mentor colleagues, foster a culture of continuous learning, and recommend new approaches to improve team engineering practices - Participate in hiring interviews, providing technical assessment and team-fit review - Handle sensitive data with rigor: data residency and compliance are first-class engineering concerns **WHAT YOU’ll BRING:** - 5+ years of software engineering experience (NodeJS, TypeScript, React, Python, REST, RDBMS, NOSQL) backend systems or similar stacks - Comfort operating in a research-adjacent, evidence-driven environment - Passion for building the scalable data pipelines that empower our ML engineering efforts. - Agile & iterative mindset (end-to-end ownership; you build it, you run it) - Experience with cloud data/ML infrastructure, AWS preferred - Experience with containerization (Docker) and Kubernetes - Understanding of data modeling across both relational and unstructured data - Strong experience in automated testing - Excellent problem-solving skills - English language proficiency SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the [privacy notice](https://apply.workable.com/seon-technologies-1/gdpr_policy?lng=en) for further details. SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.