Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary ML team to improve identification accuracy at scale Balance people leadership with technical direction and cross-functional collaboration Guide roadmap in partnership with engineering leadership and stakeholders Develop, evaluate, deploy, and improve production ML systems Establish data pipelines, feature engineering, model training, and deployment practices Cultivate a culture of continuous improvement and data-driven decision making 🎯 Requirements 2+ years leading ML, data science, or engineering teams in agile settings 5+ years in software engineering, ML, or data science Experience leading teams that build and operate production ML systems Strong understanding of ML development workflows: pipelines, feature engineering, training Proven ability to mentor and develop high-performing multidisciplinary teams Excellent communication to explain complex concepts to varied audiences 🎁 Benefits Fully remote work environment Opportunity to lead impactful ML, fraud prevention, and digital security projects Competitive compensation based on experience and location Global, distributed team of engineers and data professionals Strong focus on professional growth and career development Inclusive, collaborative culture valuing diverse perspectives