Staff Machine Learning Engineer

About Opendoor
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. 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, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.  So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.
About the TeamThe Pricing Team is responsible for the engineering of quantitative systems and models driving Opendoor’s business. From supporting research on our Automated Valuation Model, and launching those models in production, to building interactive tools that allow us to marry human insight with algorithms, Pricing keeps all of our business lines healthy and growing. Our goal is to enable Opendoor to serve our customers by providing accurate, quantitative assessments of value and risk — which in turn allows us to offer competitive fees and a great end-user experience for buyers and sellers alike. 
We are looking for an Engineer with an expertise in Machine Learning or Data Science to join our team. In this role, you will use your experience to develop a deep understanding of our AI-driven pricing strategy at Opendoor, and to drive the implementation of our algorithms and experiments while adhering to engineering best practices and keeping an eye towards quality as we scale. You will design and develop platforms, services, and tools to tackle a variety of challenges related to price optimization, inventory management, forecasting, workflow automation, and more. You will collaborate closely with Data Scientists and Analysts on our pricing team to influence our pricing strategy at Opendoor and deliver highly scalable services and products that enable delightful customer experiences. We are looking for engineers with proven ability to deliver results, a passion to learn, and expertise in service oriented architectures, distributed systems, algorithms, analytics, databases, and front-end technologies. 

Role Responsibilities

• 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.

Skills Needed

• BS or higher degree in Computer Science, Engineering, or a related technical field.
• Quantitative experience, either via previous job experience or a degree in Mathematics, Statistics, or a related field, or continuing studies, such as online courses and certifications.
• 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.
• Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements.
• A sense of ownership and a passion for delighting customers through innovation and creative solutions to complex problems.
• Excellent communication skills and high attention to detail.

Bonus Points if

• Experience in Go/Java/C++ is a plus.
• Experience working closely to support data science or analytics teams is a plusExperience in web development (e.g. React, API design, Rails, Postgres) 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 GPC is a plus.

More About UsTo learn how we are reinventing the Real Estate industry check out our website, to hear about our culture directly from team members visit The Muse and to discover what we are building for our customers read our blog posts.
Opendoor Values OpennessOur team celebrates our diverse backgrounds. 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 regards 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 Policy.