Our mission is to power the future of fan engagement. 

Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining. Our technology powers micro-betting capabilities of the leading operators around the globe.

Simplebet is looking for a Machine Learning Engineer to build and support the machine learning models and infrastructure that power our micro betting experiences. As we grow our business to cover new sports, new betting markets, and new sportsbook partners, you will be integral in ensuring that we are providing our partners with best-in-class sports betting models.

We’ll Trust You To:

• 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

• 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

• Experience working across data and product teams
• Experience with machine learning observability and explainability
• Experience with Databricks
• Projects involving creative analysis of sports data
• Experience in sports betting

• 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.

Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it.