Lead Machine Learning Engineer, Data & AI

October 28

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SplitMetrics

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App Store Optimization • A/B Testing • Screenshots and Icon Testing • Video Testing • App Store Product Page Optimization

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Description

• Hi! It's SplitMetrics, a remote-first team of experts building the future of mobile marketing. • We are looking for a creative and experienced Lead Machine Learning Engineer to join our dedicated Data&AI team. • You will have access to huge data sets and an opportunity to create innovative ML solutions at the global level. • Lead a team of senior engineers and data scientists. • Develop and deploy new machine learning algorithms. • Analyze the performance of current ML solutions and identify opportunities to improve. • Collaborate cross-functionally to share findings and guide product development.

Requirements

• 5+ years of experience in Data Science or Machine Learning Engineering, with at least 1 year in a lead role. • Deep understanding of ML algorithms and optimization methods. • Strong practical knowledge of Python and SQL. • Understanding of Agile principles/experience as a Scrum Master. • Working knowledge of how to put ML models into production from research to deployment.

Benefits

• Time Off: Vacation and public holidays following your country's regulations. Additional 6 PTOs annually for personal rejuvenation. • Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. • Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. • Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. • Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. • Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. • Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.