Robotics Technologies LLC
Machine Learning Engineer
Robotics Technologies LLC, Austin, Texas, us, 78716
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.
Job OverviewJob ID:
J36993Specialized Area:
Machine learningJob Title:
Machine Learning EngineerLocation:
Austin, TXDuration:
11 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)The Machine Learning Engineer is responsible for designing and supporting machine learning systems within the Revionics’ analytical pricing software.You will be responsible for developing an expert-level understanding of the core scientific capabilities of Revionics’ solutions and building production-grade machine learning systems to augment these solutions.The Machine Learning Engineer must also be able to explain advanced machine learning concepts to multiple teams across the business.Responsibilities:Apply knowledge of machine learning, programming, and data modeling to build production systems that will train, test, and predict.Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction.Generate and test hypotheses and analyze and interpret the results of product environment.Create and implement mathematical models and scientific algorithms including the development of robust, rapid, and efficient numerical algorithms.Work with machine learning scientists to translate prototypes into new products, services, and features.Knowledge transfer throughout the organization, internal presentations, and white papers establishing thought leadership and capability excellence in the Revionics platform.Coordinate and conduct testing and analysis of solutions across customer data sets.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.
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Job OverviewJob ID:
J36993Specialized Area:
Machine learningJob Title:
Machine Learning EngineerLocation:
Austin, TXDuration:
11 MonthsEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)The Machine Learning Engineer is responsible for designing and supporting machine learning systems within the Revionics’ analytical pricing software.You will be responsible for developing an expert-level understanding of the core scientific capabilities of Revionics’ solutions and building production-grade machine learning systems to augment these solutions.The Machine Learning Engineer must also be able to explain advanced machine learning concepts to multiple teams across the business.Responsibilities:Apply knowledge of machine learning, programming, and data modeling to build production systems that will train, test, and predict.Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction.Generate and test hypotheses and analyze and interpret the results of product environment.Create and implement mathematical models and scientific algorithms including the development of robust, rapid, and efficient numerical algorithms.Work with machine learning scientists to translate prototypes into new products, services, and features.Knowledge transfer throughout the organization, internal presentations, and white papers establishing thought leadership and capability excellence in the Revionics platform.Coordinate and conduct testing and analysis of solutions across customer data sets.ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.
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