NMI was looking for a Machine Learning Engineer

Machine Learning Engineer San Francisco, CA - Remote A pioneering sports analytics and prediction startup is seeking a team-oriented Machine Learning Engineer passionate about transforming sports data analytics through advanced engineering and mathematical approaches. Our Data Science team is recruiting an experienced professional capable of constructing machine learning and statistical modeling frameworks from scratch. The ideal candidate will optimize various modeling process aspects, including data validation, visualization, feature engineering, model training, and deployment across multiple sports leagues. This position is 100% remote Responsibilities: - Design and implement high-accuracy, low-latency sports prediction systems - Evaluate and optimize internal modeling frameworks and tools - Build, test, deploy, and maintain production systems - Collaborate with DevOps and Data Engineering teams for Kubernetes workload implementation - Support cloud-native Enterprise Data Warehouse and ETL solutions maintenance - Promote software development best practices - Apply large-scale data processing techniques for innovative sports betting products - Develop database structures aligned with overall system architecture Qualifications: - Master's degree in Computer Science, Applied Mathematics, Data Science, or related technical field - 5+ years developing production-ready code - Proven background in quantitative analytics, trading, or engineering - Demonstrated experience developing data science modeling systems at scale - Proficiency in Python and modern machine learning frameworks - Strong SQL skills, particularly MySQL - Rust programming background preferred - Excellent teamwork and communication abilities - Strong technical and non-technical communication skills Base salary: $165,000 - $195,000 An Equal Opportunity Employer committed to non-discriminatory hiring practices across all protected characteristics.