Staff Machine Learning Engineer

• Working with product, engineers, and data scientists to contribute to all phases of software development including ideation, prototyping, design, and production.
• Building products and services from scratch, as well as evolving existing systems using Spark, AWS, Databricks, and python.
• Developing tools to support the unique challenges of pricing homes at Opendoor, such as custom human data labeling tools or a workflow orchestrator.
• Applying your technical and quantitative expertise to guide the team in making intelligent, scalable, and pragmatic design decisions.
• Influencing the technology and architectural roadmap of the engineering teams.
• Playing an active role in hiring and mentoring other engineers.
• Building deep domain expertise in pricing and real estate.

• BS or higher degree in Computer Science, Engineering, or a related technical field.
• Proven ability to design and build production-quality software systems.
• Excellent programming skills in Python.
• Experience developing models in a deep learning framework such as pytorch or tensorflow, or with SparkML or SageMaker.
• Experience in different phases of the ML project lifecycle, including experimentation, EDA, model training, model deployment (batch and/or real time ), AB testing, and monitoring model quality in production over time.
• Proven ability to use data and metrics to drive decisions.
• History of independently leading cross-functional projects and prioritizing work based on business impact.
• Ability to understand the needs of stakeholders, define business requirements, and architect systems that will scale and extend to accommodate them over time.

• Experience working closely to support data science or analytics teams is a plus
• Prior experience with data processing technology (e.g. Spark, Hadoop, SQL) and workflow management tools (e.g. Airflow, dbt) is a plus.
• Experience with a cloud computing platform such as AWS or GCP is a plus.

For CO Residents Only, and in accordance with C.R.S. Sec. 8-5-101 et seq., the estimated base salary range for this role is $132,000 - $224,000 per year. The estimated range is meant to reflect an anticipated salary range for the position in question based upon market data and other factors, all of which are subject to change.  Individual pay is based upon location, skills and expertise, experience, and other relevant factors.  For questions about this, our pay philosophy, and other available benefits, please speak to the recruiter if you decide to apply for the role and are selected for an interview.