Engineering Manager, Identification Accuracy

Overview

Job Description

Responsibilities

• - Lead and grow the Identification Accuracy team — a multidisciplinary group of ML Engineers, Data Scientists, Analysts, and Analytics Engineers — fostering psychological safety, technical excellence, and a culture of continuous improvement.
• - Own the team's roadmap in close partnership with senior engineering leadership and cross-functional stakeholders, driving innovative solutions to identification-specific challenges and continuously raising the bar on model quality.
• - Drive model accuracy outcomes by enabling your team to design, train, evaluate, and ship ML models that improve identification accuracy at scale across billions of devices.
• - Build bridges across the organization — partnering closely with the Identification Engineering team (who operates the API your models power) as well as Product, and customer-facing teams to translate customer needs into technical priorities.
• - Communicate effectively across technical and non-technical audiences, translating model performance and roadmap tradeoffs into language that resonates with business stakeholders and executive leadership.

Required Skills

• - Minimum of 2 years of experience in a leadership role in a ML or data science team in an agile, fast-paced 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 — from data pipelines and feature engineering through model training, evaluation, and deployment.
• - Proven track record of building and developing high-performing, multidisciplinary teams including engineers, data scientists, and/or analysts.
• - Strong communication skills with the ability to translate complex model behavior, data quality issues, and technical tradeoffs to both technical teammates and non-technical stakeholders.
• - Demonstrated success driving outcomes in fast-moving, scaling environments where priorities evolve and ambiguity is the norm.

Benefits

• - We are dedicated to creating an inclusive work environment for everyone.
• - We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace.
• - Fingerprint strives to foster an environment where our employees feel respected, valued and empowered.