About the Team

The Machine Learning Foundation team owns the frameworks and systems necessary to empower rapid and sustained iteration on Opendoor’s industry-leading models for pricing, risk, and macro forecasting in real estate. The ability to rapidly experiment and deploy models is central to Opendoor’s ability to thrive in a dynamic marketplace. This team will work with MLEs and Researchers to design and support next generation ML infrastructure.

Role Responsibilities:

Designing, implementing, and supporting a framework for the full ML lifecycle specialized to Opendoor’s unique requirements
Maintaining and operating critical, large-scale ML pipelines such as Opendoor’s Valuation Model
Productionizing and modernizing features, pipelines, and their store
Integrating solutions with industry-standard ML PaaS such as MLFlow, Databricks, Anomalo, and Snowflake

Skills Needed:

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 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

#LI-Hybrid #LI-RJ1

About Opendoor

Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple and certain.

To learn how we are reinventing the Real Estate industry check out our website.
Hear about our culture directly from team members by visiting The Muse.
Discover what we are building for our customers by reading our b log.

Opendoor Values Openness

We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.

We’re committed to Diversity, Equity, Inclusion, and Belonging

Opendoor is dedicated to creating an inclusive and collaborative culture. We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion. Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day. You can find more information on our Career Page.

We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.

At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com.

Staff Machine Learning Engineer