Remotely
machine learningmlopsfraud detectiondata pipelinesdbtfeature storesmodel registry
Job Description
📋 Description
- Lead a multidisciplinary Identification Accuracy team across ML engineers, data scientists, analysts
- Own the team roadmap with emphasis on model quality and latency
- Drive production ML systems: pipelines, feature engineering, training, deployment
- Collaborate with platform, API, product, and customer teams
- Communicate performance, trade-offs, risks, and priorities to stakeholders
- Mentor engineers and build a high-performing org
🎯 Requirements
- 5+ years in software engineering, ML, or related field, incl. 2+ years leading ML/data science teams
- Experience delivering production ML systems end-to-end (pipelines to deployment)
- Proven success building multidisciplinary teams of engineers, data scientists, analysts
- Strong ML and data systems knowledge; familiarity with MLOps tools
- Hands-on with analytics tech like dbt or similar
- Excellent written and verbal communication and ability to translate trade-offs to stakeholders
🎁 Benefits
- Competitive comp; US range $159k-$215k; Poland vary
- Fully remote with distributed team
- Opportunity to lead multidisciplinary ML/data org at scale
- Exposure to cutting-edge ML, fraud detection, identity tech
- High autonomy and influence over strategy and outcomes
- Inclusive environment valuing diverse backgrounds
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