Engineering Manager, Identification Accuracy
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FingerprintFraud Detection
Fingerprint is an all-remote company and people can join our workforce from almost any countryFull-TimeManager
Salary159,000 - 215,000 USD per year
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Job Details
- Experience
- 5 years of professional experience in software engineering, machine learning, or a related technical discipline; 2 years of experience in a leadership role in a ML or data science team
- Required Skills
- Machine LearningMLFlowData scienceCI/CDdbtMLOps
Requirements
- Minimum 2 years of experience in a leadership role within a ML or data science team in an agile environment.
- At least 5 years of professional experience in software engineering, machine learning, or a related technical discipline.
- Demonstrated ability to lead technical teams that ship production ML systems.
- Proven track record of building and developing high-performing, multidisciplinary teams.
- Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Demonstrated success driving outcomes in fast-moving, scaling environments.
- Experience managing teams working with large-scale behavioral or event data in production (preferred).
- Familiarity with ML infrastructure and MLOps tooling such as MLflow, feature stores, and model registries (preferred).
- Background in fraud detection, identity, or trust & safety (preferred).
- Hands-on experience with data stack technologies such as dbt or similar analytics engineering tools (preferred).
Responsibilities
- Lead and grow the Identification Accuracy team, fostering psychological safety and technical excellence.
- Own the team's roadmap in partnership with engineering leadership and stakeholders.
- Drive model accuracy by enabling the design, training, evaluation, and deployment of ML models.
- Build bridges across the organization, partnering with identification engineering, product, and customer-facing teams.
- Communicate technical model performance and tradeoffs to non-technical stakeholders and executive leadership.
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