Remote Senior Applied Machine Learning Engineer - Applied Machine Learning Team

This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.

Hybrid from Seattle is the preferred location but this role is open to fully remote candidates.

Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!

The Applied Machine Learning group at Redfin works towards redefining real estate in the customer's favor using machine learning. We work on foundational problems in the real estate space including recommendations ("Where should I live?") and price estimation ("How much is a home worth?"). The Brokerage Recommendations product alone, which we power drives 27% of all traffic to Redfin platforms. We have real estate data at a national level and work across various domains in machine learning using large-scale multi-modal property data (documents, images, text, video, 3D scans etc.). Our team also owns and maintains end-to-end production-grade large-scale machine learning infrastructure and systems serving hundreds of millions of consumers.

As a Senior Machine Learning Engineer for the Applied Machine Learning Team, you'll breathe life into our research by transforming prototypes into high-performance production systems, building the automated MLOps pipelines and real-time optimizations that keep our models running at scale. As the strategic bridge between research and engineering, you'll own the health of our valuation and recommender systems to ensure they remain fast, reliable, and impactful for millions of users.

The Role:

• You will productionize models by converting research-grade code into performant, clean, and maintainable production systems.
• You will implement MLOps best practices, including CI/CD for machine learning, automated retraining pipelines, and robust model versioning.
• You will optimize models for inference to ensure high-speed performance and efficiency in real-time environments.
• You will monitor models in production, proactively identifying and mitigating issues related to data drift, concept drift, and system latency.
• You will co-create the next generation of data-driven insights for automated valuation models (AVM) and recommender systems.
• You will identify and implement iterative improvements to the machine learning models that power production-scale, customer-facing experiences.
• You will serve as a technical bridge, assisting other engineers and stakeholders in understanding and applying data science methodologies and findings across the organization.
• You will build data products and analytical tools that drive critical business metrics and revenue growth, directly impacting the home buying and selling experience.

Who You Are:

• You have 5+ years of software engineering experience, with at least 2 years specifically focused on deploying and scaling machine learning models in production environments.
• You are highly proficient in Python and capable of writing production-grade, modular code.
• You possess a deep understanding of the end-to-end ML lifecycle, including training versus inference workflows, feature stores, and model versioning.
• You are competent with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. While you may not be building architectures from scratch, you can effectively debug, tune, and optimize models for inference.
• You are competent with monitoring, observability, and production maintenance. You can effectively set up and manage logging, metrics, and alerting pipelines, debug production issues, and ensure system reliability and performance in high-scale feature storeYou have hands-on experience with Docker and Kubernetes. You understand how to deploy, manage, and scale containers within a cluster environment.
• You have experience implementing model monitoring and operational rigor, including tracking data drift and latency, as well as utilizing A/B testing frameworks to validate model performance in the wild.
• You are proficient in SQL and familiar with distributed data processing tools like Spark or Kafka to ensure that data reaching the model is high-quality and consistent with training distributions.

What We Offer:

• Competitive compensation packages with a salary, bonuses, and restricted stock grants.
• Generous benefits, including paid vacation, medical, dental, and vision insurance, and paid family leave.
• A high-growth company, providing opportunities for continued professional development and growth.

Illinois, Maryland, Minnesota, Massachusetts, Colorado, New York City, New Jersey, Jersey City, California, D.C. and Washington candidates only:

Base Pay Range: $164,300.00 - 225,500.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.

#LI-Hybrid

Redfin is an equal opportunity employer committed to an inclusive workforce.

An inclusive culture is vital to Redfin's mission of making real estate better for people from all walks of life. We're proud that Redfin is a place where different points of view and backgrounds are encouraged and respected. We constantly strive to build a company that reflects the world around us, based on our conviction that pursuing and developing talent of all types is the right way for a business to thrive over the long haul.

Redfin provides equal employment opportunities to all employees and applicants for employment and prohibit discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, and any other characteristic protected by applicable federal, state or local law. If you need accommodation in the application or recruitment process because of a disability or special need, please contact recruitingteam@redfin.com

Redfin encourages individuals with criminal record histories to apply for employment and considers such individuals for employment consistent with the requirements of any applicable fair chance acts, including but not limited to the California, San Francisco and Los Angeles County Fair Chance Acts. Philadelphia applicants can access a copy of Philadelphia Fair Criminal Records Screening Standards ordinance poster here.

Redfin accepts applications on an ongoing basis.