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Machine Learning Engineer

• We're moving from a product where AI is a feature you can turn on to one where it's a layer that runs through everything: response suggestions, abuse detection, summarization, lead scoring, intent classification.
• You own the ML and AI engineering layer end to end.
• Model registry, feature pipelines, and deployment pathways that any engineer in the org can use.
• Evaluation infrastructure that catches regressions before they hit prod, not after.
• Drift detection, online evals, cost and latency monitoring.
• Rollback and progressive rollout patterns built for ML systems, not retrofitted from generic CD.
• Build-vs-buy calls. Know when a frontier API is the right answer, when a managed service is fine, when to fine-tune, and when a regex would have done the job.

Senior ML Engineer

Full-stack Engineer

• Build products focusing on iOS and Android mobile applications
• Engage with the Product team to deliver user-friendly features
• Mentor other developers in good development practices for clean code and reliable software
• Maintain robust CI/CD tooling, processes, testing and procedures

Senior ML Engineer

Senior Software Engineer, React Native