Engineering Manager, Identification Accuracy

📋 Description

• Lead a multidisciplinary ML team to improve identification accuracy at scale
• Balance people leadership with technical direction and cross-functional collaboration
• Guide roadmap in partnership with engineering leadership and stakeholders
• Develop, evaluate, deploy, and improve production ML systems
• Establish data pipelines, feature engineering, model training, and deployment practices
• Cultivate a culture of continuous improvement and data-driven decision making

🎯 Requirements

• 2+ years leading ML, data science, or engineering teams in agile settings
• 5+ years in software engineering, ML, or data science
• Experience leading teams that build and operate production ML systems
• Strong understanding of ML development workflows: pipelines, feature engineering, training
• Proven ability to mentor and develop high-performing multidisciplinary teams
• Excellent communication to explain complex concepts to varied audiences

🎁 Benefits

• Fully remote work environment
• Opportunity to lead impactful ML, fraud prevention, and digital security projects
• Competitive compensation based on experience and location
• Global, distributed team of engineers and data professionals
• Strong focus on professional growth and career development
• Inclusive, collaborative culture valuing diverse perspectives