About the teamAI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops end to end platform powering AI research and development at Zillow!
As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research & Products, powering products like home value estimation, economic research, personalized recommendations and semantic search etc. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research & deployments of ML models, evaluations and monitoring.
Learn more about what we are doing at https://www.zillow.com/data-science and https://www.zillow.com/engineering
Acerca del equipo
Los productos de IA en Zillow ayudan a millones de personas a encontrar la mejor casa para ellos con menos estrés y más visibilidad. Los científicos de datos de Zillow desarrollan una variedad de modelos ML (comprensión del lenguaje natural, visión por ordenador, sistemas de recomendación) que permiten a nuestros clientes encontrar y mudarse a su próxima casa. Únete al equipo que desarrolla la plataforma integral que impulsa la investigación y el desarrollo de la IA en Zillow.
Como miembro del equipo de la Plataforma de Inteligencia Artificial, ayudarás a definir el enfoque de Zillow para la investigación y los productos de Inteligencia Artificial, impulsando productos como la estimación del valor de la vivienda, la investigación económica, las recomendaciones personalizadas y la búsqueda semántica, etc. Trabajarás en la creación de una potente infraestructura de Inteligencia Artificial que permita servicios en contenedores, realizando cálculos distribuidos a escala, potenciando la investigación continua y el despliegue de modelos de Inteligencia Artificial, evaluaciones y monitorización.
Más información sobre lo que estamos haciendo en https://www.zillow.com/data-science y https://www.zillow.com/engineering
About the role
We are looking for a Senior Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products.
The position gives you opportunities to:
- Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs & services.
- Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow etc.
- Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision.
- Work closely with our data infrastructure team to build the data systems and stores that power ML models.
- Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions.
Acerca del puesto
Estamos buscando un Ingeniero Senior de Desarrollo de Software para ayudarnos a construir la próxima generación de infraestructura de IA que impulsa múltiples productos de Zillow.
El puesto te ofrece oportunidades para:
- Crear y construir una infraestructura escalable para orquestar el ciclo de vida del aprendizaje automático de extremo a extremo, desde la fase de experimentación hasta los trabajos y servicios de producción.
- Trabajar con una variedad de tecnologías como Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow, etc.
- Colaborar con científicos aplicados, ingenieros de aprendizaje automático y equipos funcionales cruzados en la elaboración e implementación de tu visión técnica.
- Trabajar en estrecha colaboración con nuestro equipo de infraestructura de datos para construir los sistemas de datos y almacenes que alimentan los modelos de ML.
- Colabora con varios equipos (producto, ingeniería) para definir y ofrecer soluciones de plataforma.
This role has been categorized as a teleworker position. Teleworkers 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 part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.
In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.
Who you are
Basic Qualifications:
- A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred.
- 4+ years of experience with Machine Learning, data and/or backend web services & infrastructure.
- 1+ years of experience with platform solutions.
- Experience working with cloud services (AWS/Azure/GCP)
- Excellent interpersonal skills and passionate about collaborating across organizational boundaries.
Quién es usted
Cualificaciones básicas:
- Licenciatura (BS+) en Informática o un campo relacionado. Se prefiere un máster en Informática.
- 4+ años de experiencia con Machine Learning, datos y/o servicios web backend e infraestructura.
- 1+ años de experiencia con soluciones de plataforma.
- Experiencia trabajando con servicios en la nube (AWS/Azure/GCP).
- Excelentes habilidades interpersonales y apasionado por colaborar con otros.
Nice to haves:
- Have vision and passion to make Machine Learning development easier for ML Practitioners.
- Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- Experience with Databricks (for data and/or ML use cases)
- Experience with building low latency, high reliability Web Services (K8s, KNative services)
- Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost)
- Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)
Agradable de tener:
- Tener visión y pasión para hacer que el desarrollo de Machine Learning sea más fácil para los profesionales de ML.
- Experiencia en el desarrollo de sistemas de software sofisticados escalables a millones de usuarios con despliegue de calidad de producción, monitorización y fiabilidad.
- Experiencia con Databricks (para datos y/o casos de uso de ML)
- Experiencia en la construcción de Servicios Web de baja latencia y alta fiabilidad (K8s, KNative services)
- Experiencia con marcos de aprendizaje automático (por ejemplo, PyTorch, Keras, Tensorflow, XGBoost)
- Experiencia con tecnologías de datos modernas (Spark, Hive, Kafka, Beam, Airflow)
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Habilidades transferibles
Aquí en Zillow - valoramos la experiencia y la perspectiva de los candidatos con antecedentes no tradicionales. Te animamos a presentar tu candidatura si tienes habilidades transferibles o experiencias relacionadas.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Top Skills
What We Do
Join our mission to give the people power to unlock life’s next chapter.
Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next.
Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. Today, Zillow has become a household name. People are more likely to search for “Zillow” than “real estate,” and our name is often used as a verb.
While other industries have ushered in a new era of convenience, the time for seamless and convenient real estate experience is now. This is our next chapter as a company.
We’re looking for smart, passionate adventurers to join us as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.
