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Sr Engineer - High-Performance Machine Learning Infra (Python, Kubernetes, PyTorch/TensorFlow)

Apply Now Location: 100 Mathilda Place, Sunnyvale, California, United States, 94086-6017; job id: R0000317360
job family: Data Science
schedule: Full time
The pay range is $92,000.00 - $198,700.00

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


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 is 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 pipeline engineers and applied 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 Senior Machine Learning Engineer at High-Performance Machine Learning, you will 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:

  • Four-year degree in Computer Science or equivalent work experience
  • 3+ years of experience developing software solutions
  • Proven track record in writing code that is correct, maintainable, testable, expressive, easy to change, efficient and fault-tolerant
  • Extensive experience programming in Python or Go
  • Experience with Infrastructure as Code
  • Expertise in container orchestration, Kubernetes and high-performance computing clusters
  • Familiarity with machine learning hardware like Tensor GPUs or AI chips
  • Familiarity with machine learning frameworks: PyTorch, TensorFlow, or Jax
  • Demonstrated knowledge of Linux services

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs.  A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target Sunnyvale location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Supply Chain Facility or reach out to Guest Services at 1-800-440-0680 for additional information.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and Los Angeles Fair Chance Ordinances.
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