Role overview
- 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
5 plus years' of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design
Highly proficient programming in Python
Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX
Experience with one or more cloud ML services such as Vertex AI, Azure ML or Sagemaker
Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc.
Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented; able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team
Experience in mentoring the junior team members ML Ops skillsets and career development
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 HQ location in Sunnyvale or 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.
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 03/01/2026