Senior Software Engineer, Machine Learning - Remote Eligible

Redfin is revolutionizing the real estate industry by leveraging data and innovative design to enhance the customer experience. The Senior Software/Data Science Engineer will work within the Applied Machine Learning team to develop and improve machine learning solutions, utilizing advanced analytical techniques to extract insights from large datasets.

Responsibilities:

• You will design and implement advanced statistical models and machine learning algorithms to solve complex real estate problems
• You’ll perform comprehensive Exploratory Data Analysis (EDA) to understand data structure, distributions, and anomalies, and apply feature engineering techniques—including transformation, selection, and creation—to optimize model performance
• You will co-create the next generation of data-driven insights for automated valuation and recommender systems
• Identify and implement improvements to ML models that power production-scale customer-facing experiences
• You will assist other engineers and stakeholders in understanding and utilizing data science methodologies and findings at Redfin
• You'll build data products and analytical tools that drive some of the company's most critical metrics and impact revenue growth. We are helping create the best possible home buying or selling experience, one feature at a time

Requirements:

• 5+ years of experience in data science, statistical modeling, and software engineering, including experience with open-source data science tools; experience with Recommender Systems is a plus
• Required Skills (4+ years of experience): Python (Scikit-learn, PyTorch, Tensorflow/Keras, NumPy, Pandas, XGBoost), SQL, A/B testing, statistical modeling, data visualization
• You communicate cross-functionally and can take a data science project from inception, research, experimentation, validation, and deployment
• You are passionate about inventing and applying advanced analytical and ML techniques to extract insights and solve business problems
• You have experience developing large-scale data applications backed by relational and non-relational databases – we utilize Kafka, Java, Python, Postgres, SQL, K8s, Jenkins, and Airflow in AWS
• Great communicator. You can distill a challenging problem into its essential elements, and clearly communicate your vision and findings to the team
• You have a Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience
• Spark, Apache Airflow, AWS (S3, DynamoDB, Lambda, Kinesis, SageMaker)