Verified Global create cutting-edge algorithms to turn the tables in sports betting. Every hour, millions of sports fans blow hard-earned cash on suboptimal, losing bets. We are turning the tables, arming the masses with market-beating tips, insights and data to unlock better bets and greater gains, all powered by world-class in-house algorithms.

Our flagship consumer product, GameScript, is a trailblazing platform leveraging our algorithmic and social expertise, unconstrained by any legacy engineering or design limitations. We have already experienced extremely rapid growth since launching GameScript in October 2024, enabled by our industry-leading social media marketing channels where almost two million highly-engaged followers rely on our top-rated content every day.

Today, we are looking for Lead AI Engineer to join us on this fast-moving and exciting journey.

Key responsibilities:

• Lead the Charge in AI Innovation - Architect and develop groundbreaking AI models that push the boundaries of what's possible.
• Design and develop cutting edge ML models for sports prediction. Improve the existing ensemble models for better predictability.
• Bring the frontier of ML/AI research into sports by building self-learning and real-time predictive models for U.S. sports at a player-level resolution.
• Optimise and bundle the ML models to serve thousands of predictions an hour. Currently our models run at blazing speeds on a Rust runtime through Onnx conversion.
• Partnering with the product team to turn ideas into fully functional modules of the consumer product.
• Contribute to strategic decisions around the future product direction of GameScript (more powerful AI algorithms, valuable integrations and tools for sports fans).
• Rapid testing and gathering of customer feedback and analytics to drive decision-making.

Desirable experience:

• Deep understanding of machine learning fundamentals, enabling you to think creatively and solve complex problems.
• Several years of hands-on experience building AI models.
• Proficiency with Python.
• Some experience with strongly-typed languages.
• Proficiency with SQL-like databases and data pipelines.
• Proficient understanding of dataframes, and ML frameworks including Scikit-learn, Tensorflow, PyTorch, Keras.
• Previous experience with sports prediction, or interest in U.S. sports is desirable.
• Some experience with Polars is desirable, though not necessary.
• Some experience with Onnx is desirable, though not necessary.
• Ability to work independently and in ambiguous settings, delivering solutions end-to-end.

What we offer:

• Opportunity to directly impact and improve the decisions of millions of sports fans.
• Unconstrained resources to experiment and train ML models on our cloud computing infrastructure.
• Best in class real-time data through our direct contracts with data-providers.
• A competitive salary and benefits package.
• Private health insurance and fitness incentives.
• Being part of the early founding team of an industry-first consumer product.
• Truly intellectually challenging work in a diverse and fast-paced startup environment.
• A talented and genuinely collegiate group of colleagues that are first-movers in their market.
• Ample opportunity to grow and test your skills by working directly with top-tier ML, engineering, product, and design peers.
• Commitment from us to continued investment in your professional development.