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machine learning mlops fraud detection data pipelines identity📋 Description
- Lead and grow the Identification Accuracy team — ML engineers, data scientists, analysts.
- Own the team's roadmap in partnership with senior engineering leadership.
- Drive model accuracy outcomes across billions of devices.
- Collaborate with Identification Engineering, Product, and customer teams to set priorities.
- Communicate model performance and roadmap tradeoffs to stakeholders.
🎯 Requirements
- Minimum 2 years in ML/data science leadership in agile environments.
- At least 5 years in software engineering or ML.
- Proven ability to ship production ML systems (data pipelines, training, deployment).
- Track record building high-performing multidisciplinary teams.
- Strong communication translating model performance to stakeholders.
- Experience thriving in fast-moving, scaling environments with ambiguity.
🎁 Benefits
- 100% remote company with a globally distributed team.
- Open-source focused culture and FingerprintJS flagship project.
- Inclusive, collaborative culture with growth opportunities.
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