Senior Manager, Machine Learning Engineering


Job Overview

About the teamZillow Offers is an initiative at the core of Zillow’s evolution, focused on defining the future of real estate home. We aim to make it simple to buy and sell homes, by giving consumers certainty and control to spare them the tremendous stress of the traditional process.We are a collaborative, passionate team of applied scientists, machine learning engineers, software engineers & product managers building the Machine Learning Platform that serves as the backbone of the Zillow Offers product.About the roleThis Manager role will oversee two main product lines. Resale ML where you will own building ML models to help re-sell homes ranging from listing demand modeling to pricing accuracy, and Underwriting ML where you will own building ML models to help predict costs and profitability of our home selling business.This is a high visibility, high impact role reporting to the Director of Machine Learning Engineering. This role will manage a small, but growing team. You will start remotely due to covid19.We are seeking a passionate, self-starter, “player coach” who is equally proficient at mentoring developers and writing ML code. Ideally, you are interested in growing your management experience and enjoy being in a fast-paced, ambiguous environment.Our team is excited for this key hire to join our mission! We have committed significant time, systems and processes to onboard you in an inclusive and empowering way.If this message resonates with you, please apply.Who you areMust-Haves* 4+ years of relevant software development experience* 2+ years in a management position* We largely use Python, but fluency in Scala, Java, and/or C++ is also acceptable* Experience building data pipelines with distributed processing frameworks (e.g., Apache Spark)* Experience working with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code (e.g., Terraform)* Passion for machine learning engineering* “Player coach” who can manage a team (and write code when needed).* Self-starter who takes initiative, receives feedback well and has a positive attitudeNice-to-Haves* Familiarity with Python scientific stack (e.g., numpy, pandas, matplotlib, scikit-learn)* Experience working with Docker development and deployment workflows* Experience supporting and collaborating with scientists* Experience working with product managers and/or real estate partners (asset management, broker partners, premier agents)Get to know usZillow is the leading real estate and rental marketplace dedicated to empowering consumers with data, inspiration and knowledge around the place they call home, and connecting them with the best local professionals who can help. Zillow is part of Zillow Group, whose mission is to build the largest, most trusted and vibrant home-related marketplace in the world.At Zillow Group, we’re powered by our inclusive work culture, where everyone has the support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to empower people and enrich lives around everything home, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits. But, don’t just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune 100 Best Companies to Work For (#69), Fortune Best Workplaces for Diversity (#38), Fortune Best Workplaces for Parents (#31), Fortune Best Workplaces for Women (#20), Fatherly’s Best Workplaces for New Dads (#37), JUST Capital 100 Company (#69), Bloomberg Gender Equality Index constituent.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.See what information we collect about you.

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