Software Engineer - Machine Learning

Underdog, valued at $1.2 billion, is revolutionizing the sports gaming industry with innovative products and custom-built technology. As a Machine Learning Engineer on the Data Platform team, you'll be at the forefront of developing and deploying sophisticated ML models that power their sports gaming platform.

The role offers an exciting opportunity to work with cutting-edge ML technologies while building scalable solutions for a rapidly growing company. You'll be responsible for implementing end-to-end ML pipelines, from data collection to model deployment, and ensuring their optimal performance in production environments. The position requires expertise in Python, C++, and various ML frameworks, along with experience in cloud computing and DevOps practices.

This is an ideal role for a senior engineer who's passionate about machine learning and sports, offering the chance to work with modern technologies like TensorFlow, PyTorch, and Kubernetes. The company provides a competitive compensation package of $135,000-$150,000 plus equity, along with comprehensive benefits including unlimited PTO, 16 weeks of paid parental leave, and full health coverage.

Working at Underdog means joining a dynamic, fast-paced environment where you'll collaborate with data science and quant teams while having the opportunity to mentor junior engineers and lead technical initiatives. The company's impressive growth and backing from major investors like BlackRock and Mark Cuban demonstrate its strong market position and potential for continued success.

The remote work environment and strong focus on work-life balance, combined with the technical challenges of building ML systems for sports gaming, make this an exceptional opportunity for a skilled ML engineer looking to make a significant impact in a rapidly growing industry.