Staff Machine Learning Engineer

1 month ago


Hyderabad, Telangana, India Opendoor Full time
Job Title: Staff Machine Learning Engineer

We are seeking a highly skilled Staff Machine Learning Engineer to join our team at Opendoor. As a Staff Engineer, you will be responsible for designing, implementing, and supporting a framework for the full ML lifecycle, specializing in Opendoor's unique requirements.

Key Responsibilities:
  • Design and implement large-scale ML pipelines, including Opendoor's Valuation Model
  • Maintain and operate critical ML pipelines, ensuring high availability and performance
  • Productionize and modernize features, pipelines, and their store, leveraging industry-standard ML PaaS
  • Integrate solutions with MLFlow, Databricks, Anomalo, and Snowflake
Requirements:
  • BS or MS degree in Computer Science, Engineering, or a related technical field
  • 8+ years of experience working with large-scale data / ML pipelines and their supporting infrastructure
  • Proficiency with systems design and data modeling
  • Fluency with workflow management tools, like Airflow or dbt
  • Experience with modern data warehouses, like Snowflake, Databricks, or BigQuery
  • Familiarity with distributed batch compute technologies such as Spark
  • Expertise in breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements
  • Significant experience with Python
  • Familiarity with software design principles, big data architecture, and test-driven development
About Opendoor:

Opendoor is a digital real estate company that aims to simplify the home buying and selling process. We believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust.

We are committed to creating an inclusive and collaborative culture, valuing the diverse strengths, perspectives, and backgrounds of all our employees. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion.

We are dedicated to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws.


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