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.