Mythical Games is a Venture-backed game technology company powering the next generation of players, games, and studios. Our goal is to launch exceptional video games that leverage distributed ledger tech while also providing a platform that will allow other game developers to do the same. 

At Mythical Games, we are proud of our ‘People First’ culture. We believe that it takes great people and culture to make great products. By treating each other with empathy and respect, we’re able to live fulfilling lives outside of our jobs while also creating exceptional work. 

We are looking for a highly skilled Machine Learning Engineer with a proven track record performing statistical analysis, prediction, and recommendation on diverse and large-scale e-commerce datasets preferably. In this role, you will be responsible for delivering models in production that optimize marketplace interactions, generate insights, and detect anomalies, among other things. While this role is production-focused, as one of the first members, you will be critical for developing Data Science at Mythical Games.

Responsibilities: 

• Build machine learning systems to understand the secondary marketplace eCommerce ecosystem
• Work with internal stakeholders to expand our technical capabilities, thereby creating a more robust data environment
• Develop models to optimize marketplace recommendations
• Build anomaly detection systems for detecting fraud or erroneous data
• The nasty but inevitable job of data wrangling
• Internal Data Science reading group - spend time each week keeping up with current research and presenting interesting findings 

Requirements: 

• 4+ years of professional experience with Python coding
• Experience deploying code to production
• Experience with tools and frameworks like Pytorch, TensorFlow, Pandas, SQL, etc
• Familiarity with deployment and tracking tools such as MlFlow, Docker, Kubernetes
• Familiarity with mathematical models underlying data science methods
• Strong statistics background / economics
• Strong predictive modeling
• Optimization experience either with reinforcement learning or mixed-integer programming
• Nice to have experience with causal inference
• Bachelor’s Degree preferred

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and people across all gender to apply. 

If you need assistance with accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process.