In this role, you will partner closely with applied scientists to realize new research breakthroughs in a robust, scalable way. You will build and deploy machine learning-based software including data engineering pipelines, machine learning workflows, and inference microservices.
We are seeking a hardworking self-starter who is equally versed in software engineering best practices and the latest technologies and frameworks for deploying machine learning models.
Ideally, you are interested in growing your machine learning engineering leadership, and enjoy being in a fast-paced, ambiguous environment. This role will collaborate with a team that includes applied scientists, data scientists, and a product manager. You will start remotely due to COVID-19.
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.This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.
Real-world experience building and deploying machine learning and/or data systems (for example, data engineering pipeline for data ingestion and feature extraction; machine learning workflow for automatically training and evaluating models; a web service for dynamic online inference)
We largely use Python, but fluency in Scala, Java, and/or C++ is also acceptable
Familiarity with Python scientific stack (e.g., numpy, pandas)
Experience working with cloud platforms (e.g., AWS, GCP, Azure) to ship intelligent systems
Passion for machine learning engineering and Zillow Offers
Self-starter who takes initiative, receives feedback well and has a positive attitude
Experience supporting and collaborating with scientists
Experience working with product managers, real estate partners and/or platform teams (infrastructure, data engineering, etc.)
Experience working at a large technology company with various stakeholders and decision makers
Experience building data pipelines with distributed processing frameworks (e.g., Apache Spark)
Experience championing best practices in ML Ops
Zillow Group, the largest portfolio of real estate brands on mobile and the web, is building a safe, on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow's businesses to find and get into their next home with speed, certainty and ease.
We are on a mission to help people unlock their next chapter and are building transformational tools and services that create an on-demand real estate transaction experience. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help them finish it — and no matter what job you're in, you will play a critical role in making this vision a reality.
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: Human Rights Campaign (HRC) Corporate Equity Index, Fortune Best Workplaces for Technology, Fortune Best Workplaces for Millennials, Fortune Best Workplaces for Parents, Fatherly's Best Workplaces for New Dads, JUST Capital 100 Company, and the 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.