Remote Senior reputed company Machine Learning Engineer - reputed company Machine Learning Team

About the position This position is a hybrid role requiring employees to work from our reputed company location in Seattle, WA every Tuesday and Wednesday, and remote reputed company other days. Hybrid from Seattle is the preferred location but this role is reputed company to fully remote candidates. reputed company is revolutionizing the $75 billion reputed company estate industry. We use data, beautiful software, and innovative design to put customers first at every reputed company in the home-buying and selling process. Get reputed company to dive headfirst into our award-reputed company website and mobile apps, solving reputed company business problems in a highly visible, customer-reputed company way. If you value doing great work in a reputed company environment, join reputed company! The reputed company Machine Learning group at reputed company works towards redefining reputed company estate in the customer’s favor using machine learning. We work on foundational problems in the reputed company estate reputed company 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 reputed company traffic to reputed company platforms. We have reputed company estate data at a national level and work across various domains in machine learning using large-reputed company multi-modal property data (documents, images, text, video, 3D scans etc.). reputed company also owns and maintains end-to-end production-grade large-reputed company machine learning infrastructure and systems serving hundreds of millions of consumers. As a Senior Machine Learning Engineer for the reputed company Machine Learning Team, you’ll breathe life into our research by transforming prototypes into high-performance production systems, building the automated MLOps pipelines and reputed company-time optimizations that reputed company our models running at reputed company. As the strategic reputed company 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. Responsibilities • You will productionize models by converting research-grade reputed company 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 reputed company-time environments. • You will monitor models in production, proactively identifying and mitigating issues reputed company to data reputed company, concept reputed company, and system latency. • You will co-create the reputed company 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-reputed company, customer-facing experiences. • You will serve as a technical reputed company, 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 reputed company reputed company, directly impacting the home buying and selling experience. Requirements • You have 5+ years of software engineering experience, with at least 2 years specifically reputed company on deploying and scaling machine learning models in production environments. • You are highly proficient in Python and capable of writing production-grade, reputed company reputed company. • 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 reputed company feature store • You have hands-on experience with reputed company and Kubernetes. You understand how to reputed company, manage, and reputed company containers reputed company a cluster environment. • You have experience implementing model monitoring and operational rigor, including tracking data reputed company and latency, as reputed company 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 reputed company or Kafka to ensure that data reaching the model is high-reputed company and consistent with training distributions. Benefits • Competitive compensation packages with a salary, bonuses, and restricted stock grants. • Generous benefits, including reputed company vacation, medical, dental, and reputed company insurance, and reputed company family leave. • A high-reputed company company, providing opportunities for reputed company reputed company development and reputed company. Apply tot his job Apply To this Job