Senior Software Development Engineer, Databricks and AI Platform

hace 4 semanas


Aguascalientes, Aguascalientes, México Zillow A tiempo completo
About the Team

Zillow's AI products empower millions of people to find their dream home with ease and confidence. Our team of scientists and engineers develops cutting-edge machine learning models that drive innovation in the real estate industry. As a member of our AI Platform team, you will play a critical role in shaping the future of AI research and development at Zillow.

Job Summary

We are seeking a highly skilled Senior Software Development Engineer to join our AI Platform team. In this role, you will design and develop scalable infrastructure for orchestrating end-to-end machine learning lifecycles, collaborate with cross-functional teams, and work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, and Tensorflow.

Key Responsibilities
  • Craft and build scalable infrastructure for orchestrating end-to-end machine learning lifecycles from experimentation phase to production jobs and services.
  • Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, and Tensorflow.
  • Collaborate with Applied Scientists, Machine Learning Engineers, and cross-functional teams in crafting and implementing technical vision.
  • Work closely with our data infrastructure team to build data systems and stores that power ML models.
  • Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions.
Requirements
  • 4+ years of experience with Machine Learning, data, and/or backend web services and infrastructure.
  • 1+ years of experience with platform solutions.
  • Experience working with cloud services (AWS/Azure/GCP).
  • Excellent interpersonal skills and passion for collaborating across organizational boundaries.
Preferred Qualifications
  • 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).
About Zillow

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.



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