Senior Software Engineer - Data & Machine Learning
Rocketship.vc - Los Altos, CA
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Founded by world renowned data scientists and entrepreneurs, Rocketship.vc is a global venture capital firm with investments in 14 countries and a portfolio representing over 20 technology sectors. Rocketship.vc is passionate about leveraging the power of large data sets and machine learning to identify and support exceptional founders building world-changing technologies and businesses.The ideal candidate is:Seasoned software engineer responsible for the development of new software products and enhancements to existing productsExcels in working with big data, machine learning and large-scale applications and frameworksSelf-motivated, multi-tasker, and demonstrated team-playerPassionate about investing with outstanding communication and leadership skillsResponsibilitiesWrite clean, high-quality, high-performance, maintainable codeDevelop and support software including applications, database integration, interfaces, and new functionality enhancementsDesign, implement, and maintain scalable data infrastructure solutions to efficiently process, store, and analyze large volumes of data, ensuring data availability and reliability for machine learning initiativesCollaborate with data scientists and engineers to integrate machine learning models and algorithms into production systems, enabling data-driven insights and automation of business processesCoordinate cross-functionally to insure project meets business objectives and compliance standardsSupport test and deployment of new products and featuresQualifications:B.S., M.S. or PhD in Computer Science, Statistics, Information Science or related majors3+ yrs of relevant work experienceStrong working knowledge of Python, data structures, and algorithmsRelevant experience with analysis of large data setsApplied experience with Machine Learning software (scikit, tensorflow, etc)Entrepreneurship or experience with the venture ecosystem preferredOutstanding communication and leadership skills
Created: 2025-01-24