Job Location : New York,NY, USA
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Link Logistics Real Estate (“Link”) is a leading operator of last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans more than half a billion square feet. With more than 5 percent of U.S. GDP flowing through our spaces, we leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. Link Logistics strives to be the most equitable and inclusive industrial real estate company in the business. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work, prioritizing diversity, equity and inclusion (DEI) across our workforce to deliver an optimal employee experience. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo.Because we believe that good business must be synonymous with doing good, strong environmental, social and governance practices are foundational to our identity as a firm. These practices include setting ambitious goals to combat climate change, partnering with local nonprofits, and prioritizing internal diversity, equity, and inclusion efforts. We seek to use our position, ideas, and influence to drive progress in our industry and the wider world. At Link, we give our customers space to grow—and we give people space to grow, too.As a Machine Learning Engineer, your primary responsibilities will be to productionize supervised and unsupervised models, as well as advanced analytics. You are conversant in several standard machine learning algorithms. You are comfortable optimizing pipelines, reorganizing or rewriting code for ML and AI, evaluating cluster handling, and algorithmic performance and reliability. You collaborate with our Customer Experience and Innovation teams, Sustainability team and Research team to make their work real for the business.RESPONSIBILITIES:
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