The ML Platform team at Veriff builds the foundation for rapid, compliant, and reliable iteration on machine learning products. We provide the scalable, observable, and user-friendly systems required to manage data, train models, evaluate performance, and deploy models at scale.
Having already established our core platform capabilities, we are now entering a high-growth phase focused on systemic excellence: institutionalizing world-class observability, optimizing for cost-efficiency, and radicalizing our experimentation speed. Your role will help us bridge the gap between architectural vision and a seamless developer experience for our data science teams.
You’ll help us enable ML innovation by:- Implementing Observability Frameworks: Building the tools and templates that provide visibility into model performance, data drift, and training statistics, ensuring our continuous retraining loops are robust.
- Engineering for Efficiency: Developing systems to track and optimize compute costs and training performance, allowing us to scale our ML efforts sustainably.
- Building Experimentation Tooling: Executing on the roadmap for internal tools that enable Data Scientists and ML Engineers to iterate and deploy experiments with minimal friction.
- Developing SaaS-grade ML Services: Writing high-quality, maintainable Python code to build and automate services that sit at the core of our ML lifecycle.
- Bridge-Building: Working alongside our Staff Engineer to implement architectural designs and collaborating with SRE/DevXP teams to ensure our solutions are production-ready and easily managed.
- 3+ years of experience in software or ML engineering, specifically building tools that support the ML lifecycle (MLOps).
- Strong Python skills with experience in building internal APIs or automation services.
- Hands-on experience with the open-source ML stack (e.g., MLflow, Kubeflow, Ray, or Prometheus/Grafana for ML monitoring).
- A "Product" mindset for internal tools: You care about the developer experience of the Data Scientists using your platform.
- Experience with SQL and Data Engineering (e.g., Snowflake, Spark, or dbt) to understand how data flows into our training pipelines.
- A skeptical, first-principles approach to engineering—you prefer understanding the "why" behind a system rather than just following a vendor's tutorial.
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- Comprehensive relocation support to Estonia or Spain
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development & Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
Top Skills
What We Do
Veriff is the preferred identity verification partner for the world’s biggest and best digital companies, including pioneers in fintech, crypto, gaming and the mobility sectors. We provide advanced technology, deep insights and expertise from our foundation in digital-first Estonia and honed over decades in leading the digital identity revolution.The partner of choice for businesses who need to rapidly and effortlessly verify online users from anywhere in the world, Veriff delivers the widest possible identity document coverage. By supporting government issued IDs from more than 230 countries and territories and with our intelligent decision engine which analyzes thousands of technological and behavioral variables Veriff enables trust from the first hello. With offices in the United States, United Kingdom, Spain, and Estonia, and robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. To learn more, visit veriff.com.
