Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary ML/engineering team to improve identification accuracy at scale. Own team roadmap with engineering leadership and cross-functional partners. Develop, evaluate, deploy production ML systems and data pipelines. Guide data pipelines, feature engineering, model training, and deployment practices. Foster continuous improvement and data-driven decision making. Collaborate with engineering, product, and customer-facing teams to align priorities. 🎯 Requirements 2+ years leading ML, data science, or engineering teams in agile settings. 5+ years in software/ML/data science or related field. Experience leading teams that operate production ML systems. Strong understanding of ML workflows: data pipelines, feature engineering, model training Proven ability to mentor and develop high-performing teams. Excellent communication to explain concepts to diverse audiences. 🎁 Benefits Fully remote work environment with location flexibility. Opportunity to lead ML, fraud prevention, and digital security projects. Competitive compensation based on experience and market conditions. Global, distributed team of engineers and data professionals. Focus on professional growth, learning, and career development. Inclusive, collaborative culture valuing diverse perspectives.