Work with Customer Success, Solutions Engineering, and Support — on the call when the customer describes the problem
What you'll bring
ML models you've built and deployed to production, serving real predictions to users
A strong grounding in statistical modelling — the assumptions a method makes, how it estimates uncertainty, and how it fails when the data breaks them
Fluent Python, and either some Rust already or the appetite to learn it here
SQL well beyond SELECT — window functions, query plans, dialect differences, and why a query that flies on one warehouse is unusable on another
An instinct for performance — reasoning about CPU, memory, and bottlenecks when you implement a new algorithm
The range to carry a problem from a vague business need through prototype to measured impact, and to direct AI tools well — knowing what they get subtly wrong
Bonus points for
Time series, signal processing, anomaly detection, or unsupervised methods
Inference engineering — optimising runtimes and model throughput on general-purpose hardware
Our stack, and why Rust for most of the engine and backend. Python for exploration and prototyping in the Algorithm team, where modelling usually starts, and for parts of the service like the SDK and IaC tooling. SQL in every dialect that matters — we push computation down to the warehouse when we can and stream through our own pipeline when we can't. Postgres and Redis for state, Kubernetes and Helm to deploy, which lets us run Validio both as SaaS and fully air-gapped. Claude, Gemini, and Codex in daily use.
Why Validio Founded in Sweden in 2019, we're trusted by data-driven enterprises like Nordea, Canva, Truecaller, Traveloka, and Deutsche Glasfaser. We raised a $30M Series A this year and grew ARR 800% in twelve months as enterprises got serious about making their data AI-ready. At around 40 people, you'll own initiatives end to end and make the call when you're closest to the problem — strict about testing and documentation, and fast about decisions.
Come as you are. We hire for what you'll build with us, and we welcome applicants of every background.
