Machine Learning Engineer

Job Description

• Build machine learning models to predict sports outcomes and power sports betting markets • Contribute to systems that support the full machine learning lifecycle, including research, iteration, model deployment, low-latency prediction, and model observability • Design and implement mathematical solutions that enable accurately pricing novel sports betting markets

Qualifications

• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or Software Engineer • Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP) • Strong software engineering skills and experience implementing scalable machine learning solutions in production • A passion for sports (e.g. NFL, MLB, NBA) • Strong understanding of statistics and machine learning

Benefits

• Competitive salary and vacation commensurate to experience • Health, dental, and vision insurance • 401k match • Base salary is $170,000, but may vary depending on experience.