ML Engineer

CareersML EngineerAll rolesML EngineerBuild the models that tell a trusted agent from an attack, in real time and under load.EngineeringRemote (UTC-5 to UTC+3)full-time$170,000 – $220,000 + equityApply for this roleBeltic verifies agents in real time, on the request path. That means the models behind it run under the same latency budget as the rest of production there is no offline batch job to hide behind, and no second chance if a call is slow or wrong. What we are looking for Must-haves Years of production ML - building, evaluating, and deploying models, not just research or notebooks Strong Python and a modern ML framework (PyTorch or TensorFlow); solid SQL Production ML systems end to end: feature pipelines, training, evaluation, and low-latency, real-time serving Comfort with low-label and cold-start problems - anomaly detection, unsupervised methods, weak supervision, and building eval sets and labels from scratch Data analysis, statistics, and experiment design Strong software engineering - you ship versioned, testable, reproducible code, not throwaway models Strongly preferred Applied ML in fraud, risk, abuse, account integrity, or security Graph ML / GNNs, sequence or behavioral modeling, or anomaly detection LLM / NLP work, and familiarity with AI agents - tool use, function calling, MCP Adversarial settings, where the threat evolves against the model Explainable, auditable, reproducible ML, with real model versioning Bonus Payment protocols (x402), agent identity (DID / VC), or crypto commitments (Merkle anchoring) How we hire Intro call (30 minutes) Technical conversation about work you have done (60 minutes) Paid take-home or a pairing session, your choice Final conversation with the founders We reply to every application.Posted September 20, 2026Apply for this role