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