Senior Machine Learning Engineer - Trust Platform

Know your Role

As a Senior Machine Learning Engineer, you will solve trust problems end to end. You will not limit itself to training models. You will investigate complex risk patterns and determine the simplest solution. Additionally, you will build the required data and production components. Finally, you will measure whether the solution works in the real world.

You will

• Investigate fraud, abuse, account integrity, and platform-safety problems using data and domain knowledge.
• Define success metrics while balancing detection quality, user experience, latency, and operational cost.
• Determine whether a problem is best solved using ML, heuristics, rules, graph techniques, optimisation, or system changes.
• Build data pipelines and features from high-volume batch and streaming data.
• Develop proof-of-concept solutions and validate them against realistic baselines.
• Convert successful prototypes into scalable, tested, and observable production systems.
• Integrate solutions into real-time risk decisioning and offline detection workflows.
• Design experiments and monitoring to assess effectiveness, false positives, drift, and latest attack patterns.
• Perform root-cause analysis and adapt solutions as adversarial behaviours evolve.
• Improve the technical foundations that make future trust solutions faster and safer to deliver.

Function: Engineering
Experience Level: Mid-Senior Level