Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary ML/eng team to improve identification accuracy at scale. Own the team roadmap with engineering leadership and stakeholders. Guide production ML systems: data pipelines, feature engineering, training, deployment. Foster continuous improvement, data-driven decisions, and collaboration with product and customers. Communicate model performance and roadmap decisions to technical and business audiences. 🎯 Requirements 2+ years leading ML/data science/engineering teams in agile environments. 5+ years in software engineering, ML, or related field. Proven track record building and operating production ML systems. Strong understanding of ML workflows: data pipelines, feature eng, training, eval, deployment. Experience mentoring teams and communicating complex concepts clearly. Ability to collaborate across engineering, product, and business teams. 🎁 Benefits Fully remote work environment. Opportunity to lead ML, fraud prevention, and digital security projects. Competitive compensation based on experience and location. Global, distributed team of engineers and data professionals. Focus on professional growth and career development. Inclusive, collaborative culture valuing diverse perspectives.