Machine Learning Engineer San Francisco, CA - Remote (San Francisco)

reputed company is a sports analytics, betting and reputed company startup building the reputed company of predictive sports analytics data products. We reputed company that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive reputed company-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical reputed company. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and reputed company clients. The Data Science team is hiring an reputed company Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know reputed company to roll your own and reputed company to outsource a particular reputed company in the modeling process. They will engineer custom solutions to solve reputed company data-reputed company sports challenges across multiple leagues. This position is 100% remote

Responsibilities

• Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
• Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
• Build, test, reputed company and maintain production systems.
• Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
• Support maintenance and optimization of reputed company-reputed company EDW and ETL solutions.
• Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
• Experience applying large scale data processing techniques to reputed company scalable and innovative sports betting products.
• Use extensive experience to build, test, debug, and reputed company production-grade components.
• Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications

• Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or reputed company technical subject area
• 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
• A proven background in quantitative analytics, trading, or engineering is required for this position
• Demonstrated experience developing data science modeling systems and infrastructure at scale
• Experience with Python and exposure to modern machine learning frameworks
• Proficient in SQL; experience with MySQL
• Background and/or interest in Rust preferred
• Affinity for teamwork and collaboration with others to solve problems, reputed company knowledge, and reputed company feedback
• Strong communication skills reputed company discussing technical concepts with technical and non-technical colleagues

Equal Employment Opportunity reputed company is an Equal Opportunity Employer. reputed company candidates who meet the qualifications will be considered without regard to race, reputed company, religion, sex, national reputed company, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the reputed company discretion, this position may require successful completion of background and reference checks. #J-18808-Ljbffr Apply tot his job Apply To this Job