Machine Learning Scientist

Data Science @SportsAI: At Dream Sports AI, we are pushing the boundaries of what is possible in sports experience. We are the team behind Rushline, a product where the game loop is driven by intelligent systems rather than static scripts. We are looking for builders who want to work at the bleeding edge of Generative AI, Large Language Models (LLMs), and Machine Learning. We have successfully laid the groundwork for Rushline’s intelligent core. This includes building robust pipelines for rich sports data, deploying predictive models, and publishing research at top-tier conferences such as AAAI that validates our approach to complex game theory and optimization. We are now hiring to tackle the complex challenges of the next evolution of Rushline: Next-Gen Simulation: moving from basic forecasting to complex, state-aware agent behaviors. Generative Immersion: Utilizing LLMs and GenAI to create hyper-personalized game narratives and visual assets on the fly. Scale & Strategy: Optimizing inference for real-time decision-making in high-concurrency environments Your Role:

Conducting well-structured experiments and analyzing performance to gather useful insights, ensuring they meet key benchmarks

Breaking down complex projects into clear tasks and maintaining visibility for stakeholders throughout the process

Managing the full lifecycle of ML projects, from data collection and model training to deployment, monitoring and improvements

Applying strong knowledge in ML, statistics, and deep learning to develop models using well-established methods

Staying updated on the latest ML trends and practices to provide guidance and support to the team

Qualifiers:

0-3 years of experience in building, deploying and maintaining ML solutions

Extensive experience with Python, Sql, Tensorflow/Pytorch

Working knowledge of Machine Learning, probability & statistics and Deep Learning Fundamentals

Experience in designing machine learning systems