constructor - Engineering Manager: Personalization
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Requirements
• 4+ years of experience building and deploying machine learning systems in production • 1+ year of experience leading engineering teams (people management - experience hiring, mentoring, and developing engineers and understanding that is what you want to do) • Strong understanding of machine learning fundamentals, hands-on experience with modern ML frameworks and the end-to-end ML lifecycle • Strong Python skills and experience working with large-scale data systems, with strong software engineering fundamentals, including distributed systems, APIs, and system design • Experience designing, evaluating, and deploying models that drive measurable business outcomes • Experience with experimentation methodologies, A/B testing, and metric-driven product development • Excellent written and verbal communication skills in English
Responsibilities
• Lead and grow a cross-functional team of Machine Learning Engineers, Backend Engineers, and Data Analysts • Guide research and experimentation efforts, balancing long-term innovation with near-term business impact • Partner with Product and Engineering leaders to identify opportunities for increasing customer revenue and conversion through personalization • Act as a player-coach: contribute to architecture, model design, technical reviews, and key implementation decisions
Benefits
• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year • 🌎 Fully remote team - choose where you live • 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office • 💻 Apple laptops provided for new employees • 🧑🎓 Training and development budget for every employee, refreshed each year • 👪 Maternity & Paternity leave for qualified employees • 🧠 Work with smart people who will help you grow and make a meaningful impact • 💵 This position has a base salary range between $100k and $130k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. • 🎉 Regular team offsites to connect and collaborate • DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
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