Aartificial intelligence, Computer Vision (CV), Cyber Security, GPUs, High performance computing- HPC, Infrastructure as code, JAX framework, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Python Programming, PyTorch, Supply Chain Management, TensorFlow, Writing
The pay range is $109,000.00 - $235,300.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD MACHINE LEARNING ENGINEER –
HIGH-PERFORMANCE MACHINE LEARNING INFRA TEAM
About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America’s leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work, and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.
Behind one of the world’s best-loved brands is a uniquely capable and brilliant team of machine learning engineers, data engineers, and data scientists. A role with the Target High-Performance Machine Learning (HPML) team means the chance to be a machine learning engineer who will create high-performance computing clusters, supercomputers, platforms, and cloud services for AI training and inference at scale. You will be challenged to harness Target’s impressive data centers and cloud environments to build the clusters that power solutions our partners in Computer Vision, Search, Personalization, Supply Chain Optimization, Cyber Security, and many more teams rely on.
Use your skills, experience, and talents to be a part of groundbreaking thinking and visionary goals. As a Lead Machine Learning Engineer at High-Performance Machine Learning, you’ll have the opportunity to create software solutions using Agile practices, Infrastructure as Code, and DevOps processes. Your responsibilities will include designing, implementing, debugging, and supporting high-quality, distributed, and large-scale software solutions to deploy, upgrade and extend Kubernetes clusters for accelerated and distributed computing and dataset caches. You will develop scalable software systems while employing CI/CD practices. You will also partner with other engineers and team members to develop software that meets business needs. HPML team follows Agile methodology for software development and technical documentation, and we innovate constantly and stay current with the latest AI accelerator technologies. Your job is focused on solving AI server deployments and container orchestration problems at hand.
About you:
Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index. Target established itself as the discount division of the Dayton's Company of Minneapolis, Minnesota, in 1962; it began expanding the store nationwide in the 1980s (as part of the Dayton-Hudson Corporation), and introduced new store formats under the Target brand in the 1990s. The company has found suc
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