Note: The job is a remote job and is open to candidates in USA. Target is a company focused on helping families discover the joy of everyday life. They are seeking a Principal Engineer for their AI Platforms organization to provide technical leadership in defining the architecture and evolution of their enterprise machine learning platform.
Responsibilities
- Define the long-term technical strategy and architecture for the enterprise ML Operations Platform
- Design scalable, secure, and resilient cloud-native platforms supporting machine learning workloads
- Establish best practices for model development, deployment, monitoring, and lifecycle management
- Lead architecture for enterprise machine learning infrastructure supporting batch, streaming, and real-time inference
- Drive adoption of cloud-native technologies, Kubernetes, and modern platform engineering practices
- Define standards for model governance, observability, reliability, explainability, and responsible AI
- Partner with infrastructure, security, and engineering teams to improve platform scalability, performance, and operational efficiency
- Evaluate emerging technologies and recommend architectural approaches that improve platform capabilities
- Mentor engineers and influence technical direction across multiple engineering organizations
Skills
- MS in Computer Science, Engineering, Mathematics, or related technical field with relevant software engineering experience
- Extensive experience designing and delivering large-scale cloud-native platforms or distributed systems
- Deep experience building and operating enterprise machine learning platforms and MLOps capabilities
- Strong understanding of machine learning lifecycle management, deployment strategies, observability and production operations
- Demonstrated experience with machine learning platforms and tooling such as Vertex AI, Kubeflow, MLflow, and/or equivalent technologies
- Experience building developer platforms or internal platform products
- Experience with distributed training, GPU infrastructure, and large-scale inference platforms
- Experience with feature management, model governance, and responsible AI practices
- Familiarity with Generative AI platforms and infrastructure supporting foundation model workloads
- Experience with Terraform, GitOps, service mesh technologies, and platform automation
- Experience mentoring senior engineers and leading enterprise-scale modernization initiatives
- Expertise designing Kubernetes-based platforms supporting AI and machine learning workloads
- Strong understanding of software engineering best practices including CI/CD, infrastructure as code, observability, testing, and automation
- Experience defining technical strategy, architectural standards and engineering best practices across multiple teams
- Excellent communication and influencing skills with the ability to communicate complex technical concepts to engineering and business leaders
Benefits
- 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.
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
- Remote work arrangement means the team member worksfull-time from home oran alternatelocation that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.
- Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day.
Company Overview
Company H1B Sponsorship