Senior Software Engineer, Machine Learning - Remote Eligible

Employer Industry: Real Estate Technology

• Salary up to $203,900
• Competitive compensation packages that include bonuses and restricted stock grants
• Generous benefits including paid vacation, medical, dental, and vision insurance, and fully paid family leave
• Opportunities for continued professional development and growth within a high‑growth company
• Hybrid work model with flexibility for remote work
• Collaborative environment focused on innovation and customer‑centric solutions

• Design and implement advanced statistical models and machine learning algorithms to solve complex real‑estate problems
• Perform comprehensive Exploratory Data Analysis (EDA) to understand data structure, distributions, and anomalies
• Co‑create the next generation of data‑driven insights for automated valuation and recommender systems
• Identify and implement improvements to ML models that enhance customer‑facing experiences
• Build data products and analytical tools that impact key company metrics and revenue growth

• 5+ years of experience in data science, statistical modeling, and software engineering
• Proficient in Python (Scikit‑learn, PyTorch, Tensor Flow/Keras, Num Py, Pandas, XGBoost), SQL, A/B testing, statistical modeling, and data visualization
• Experience developing large‑scale data applications using relational and non‑relational databases
• Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience
• Strong communication skills to convey complex ideas effectively across teams

• Experience with Recommender Systems
• Familiarity with Spark, Apache Airflow, and AWS (S3, Dynamo
  
  DB, Lambda, Kinesis, Sage Maker)
• Ability to take a data science project from inception to deployment
• Passion for applying advanced analytical and ML techniques to solve business problems
• Experience with Kafka, Java, Postgres, SQL, K8s, Jenkins, and Airflow in AWS

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