Staff Machine Learning Engineer

You will own the real-time decisioning platform for fraud detection and prevention. You will build feature infrastructure, maintain consistency between training and serving, operate low-latency scoring services, design fallback paths, create feedback loops, and manage models from training through retirement with safe reversible deployments.

Responsibilities

• Turn ambiguous problems into well-defined solutions
• Set technical standards through rigorous reviews and lasting engineering practices
• Develop feature infrastructure for batch near-real-time and in-request paths
• Maintain alignment between model training and serving
• Build feedback loops that capture decisions and outcomes
• Scale the platform as transaction volume and model complexity grow
• Own real-time transaction-scoring services within strict latency budgets
• Design degraded paths and fallback policies
• Improve replay shadow and staged-rollout tooling
• Manage models across training deployment monitoring and retirement
• Detect model decay before it results in financial losses

Requirements

• Experience building and operating high-availability services within strict latency budgets
• Experience designing robust fallback mechanisms
• Holistic systems thinking including failure analysis and graceful degradation
• Ability to build feedback loops for systems that learn from their decisions
• Ability to write tested typed and reliable code for duplicate late or out-of-order events
• Experience owning feature or data pipelines end to end
• Experience troubleshooting divergence between offline and production metrics
• Experience turning unscoped problems into shipped work
• Ability to raise the engineering level of others
• Experience with decision explainability systems is a plus
• Experience developing anomaly-detection systems is a plus
• Familiarity with GCP BigQuery Bigtable Memorystore Vertex AI and Kubernetes is a plus

Benefits

• Equity package
• Pay-for-performance equity bonus
• Moonshot award with a $250,000 equity grant for selected employees twice a year
• Employer pension contributions from day one
• Employee referral program paying 10K in USDC
• Flexible time off
• Birthday leave
• Enhanced parental leave
• Hybrid working schedule with fully remote work or work from the nearest Moonbase
• Public transport commuter benefits
• Private healthcare benefits
• Wellhub wellness membership
• Unlimited enterprise access to AI tools
• Lunch credit on office days
• Home office setup allowance
• Remote working allowance for fully remote employees
• Monthly product budget and zero-fee crypto transactions
• Regular remote company offsites
• Ireland Cycle to Work scheme
• UK EV Salary Sacrifice