Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary ML/engineering team to improve identification accuracy at scale. Own team roadmap with engineering leadership and stakeholders. Guide production ML systems: data pipelines, feature engineering, training, deployment. Foster continuous improvement and data-driven decision making. Collaborate with product and customer teams to translate challenges into priorities. Communicate model performance and roadmap to technical and business stakeholders. 🎯 Requirements Minimum 2 years leading ML/engineering teams in agile environments. 5+ years in software/ML/data science or related field. Proven track record delivering production ML systems. Strong understanding of ML workflows: pipelines, features, training, evaluation, deployment. Proven ability to mentor and grow multidisciplinary teams. Excellent communication for diverse audiences; ability to handle shifting priorities. 🎁 Benefits Fully remote work environment globally. Opportunity to lead ML, fraud prevention, and digital security projects. Competitive compensation based on experience and location. Global, distributed engineering team with growth focus. Inclusive culture and career development opportunities.