Opportunity
Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design.
Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. We are seeking a Machine Learning Engineer who is passionate about applying machine learning to consumer products. The candidate should also have a desire to execute and guide model development through all phases of the product development life cycle. The ideal candidate will have a successful track record as a machine learning engineer, taking models from design to proof-of-concept and launch.
In your role as Machine Learning Ops Engineer at Kohler Ventures you will:
Build and maintain ML pipelines to perform complex statistical analyses and architect/train ML models on large data sets of unique dataDesign, build, automate, deploy and maintain machine learning production pipelines.Implement machine learning model lifecycle management framework.Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvementSupport the development of start-to-finish data product solutions from requirements gathering and ideation, through interface design and implementation.Participate in product discussions and roadmap exercises to understand business use casesAuthor technical documentation and reports to communicate process and resultsCommunicate applied machine learning and statistic strategy to project sponsors, business leaders, and development teams across Kohler VenturesSupport development of the overall product strategy via understanding of the competitive landscape, available and upcoming third-party integrations, and industry practicesCollaborate with Engineering teammates to deploy models into productionCollaborate with regulatory team to develop intended use and regulatory strategyCollaborate with advance research team to design and implement data science applications.