Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary ML/engineering team to improve identification accuracy at scale. Own the team roadmap with engineering leadership and cross-functional partners. Guide production ML systems: data pipelines, feature engineering, model training, deployment. Foster continuous improvement, data-driven decisions, and collaboration with product/customer teams. Communicate model performance and roadmap to technical and business stakeholders. Support coaching and career development for team members. 🎯 Requirements Minimum 2 years leading ML, data science, or engineering teams in agile environments. 5+ years in software engineering, ML, or related field. Proven experience leading teams that operate production ML systems. Strong understanding of ML workflows: data pipelines, feature engineering, training, evaluation Proven ability to mentor high-performing multidisciplinary teams. Excellent communication to explain complex tech to diverse audiences. 🎁 Benefits Fully remote work environment with flexibility to work from your preferred location. Opportunity to lead impactful ML, fraud prevention, and digital security projects. Competitive compensation based on experience, location, 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.