Machine Learning Engineer (Remote)

Location: Remote-North America (EST preferred) WHO WE ARE: KAR Global powers the world’s most trusted automotive marketplaces through innovation, technology, and people. Our end-to-end platform serves the remarketing needs of the world’s largest OEMs, dealers, fleet operators, rental companies, and financial institutions. We’re a technology company delivering next generation tools to accelerate and simplify remarketing. We’re an analytics company leveraging data to inform and empower our customers with clear, actionable insights. And we’re an auction company powering the world’s most advanced and integrated mobile, digital and physical auction marketplaces. As an analytics company, the insights we gain from our analyses guide our strategic path forward as we grow revenue, enter new markets, and strengthen our customer relationships. The fully-remote Data Science team proactively leads and collaborates to identify the most valuable problems to solve, constructs a roadmap to delivery, and executes this plan. The outputs of the Data Science team’s models and services feed into the product portfolio at KAR, aiding tens of thousands of internal and external stakeholders in their decision-making processes. ABOUT OUR CANDIDATE: Is excited about the work of transforming data science models into production services, as this is a role less aligned with model-building and more with model deployment Can think for themselves and discover new and insightful ways to solve difficult problems without necessarily having a clear roadmap laid out Can communicate effectively with data science teammates and non-technical audiences alike Can deliver quality code in an Agile framework that ships to a production environment Has confidence, hustle, energy, and drive – accountability is key and the impact of your work is crucial to our success Candidates will be hired into an appropriate level, so this can be a senior role for someone with the right experience WHAT YOU WILL BE DOING: Build machine learning engineering systems required to efficiently operate our data science services (including computer vision, recommendations, and optimization systems) Partner with our data scientists and site reliability engineers to improve model performance Own the architecture decisions and implementation details for specific data science services that you will have responsibility over Work in an Agile environment with team members, delivering solutions quickly and continuously exploring ways to improve our results Work closely with colleagues in Product, Operations, and Sales to structure problems and understand the impact across various departments within the company WHAT YOU NEED TO BE SUCCESSFUL: Significant experience (roughly 4 years) in a Data Science, Data Engineering, or Backend Engineering position, specifically in building data science products and services in a production environment Experience coding with and using Python, SQL, Docker, Flask/FastAPI/Django Experience developing within the Amazon Web Services ecosystem Experience with Kubernetes and EKS is a plus Experience working with GPUs/CUDA vis-à-vis Tensorflow, Torch, etc is a plus Experience designing and building machine learning models is a plus Familiarity with the Agile framework for software delivery We thank all applicants for their interest. Only candidates selected for an interview will be considered. #techjobs #techjobsdice