Sr AI Engineer - Computer Vision

Lowe's is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions weekly in the United States.
Charlotte, NC, USA
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS · Retail

Description For Sr AI Engineer - Computer Vision

Lowe's, a FORTUNE 50 home improvement retailer serving 16 million weekly customers, is seeking a Senior AI Engineer specializing in Computer Vision to join their technology team. This role is crucial in developing and maintaining an advanced Computer Vision platform powered by AI, supporting various CV models, ML frameworks, and large language models (LLMs).

The position offers an opportunity to work with cutting-edge AI technologies while making a real impact on how Lowe's serves its customers. You'll be responsible for scaling model performance, building essential tools, and managing compute resources efficiently. The role requires expertise in Python, PyTorch, TensorFlow, and modern MLOps practices.

As a Sr AI Engineer, you'll collaborate with data scientists and cross-functional teams to identify and implement new AI capabilities across different domains. The role combines technical expertise with business acumen, requiring you to optimize platform performance while ensuring cost-effectiveness and security compliance.

The position offers comprehensive benefits including healthcare coverage, retirement plans with company matching, stock purchase options, and generous parental leave. You'll be part of a company that values innovation while maintaining a stable 100-year track record of success. Lowe's culture emphasizes recognition, inclusion, and professional growth opportunities.

This role is perfect for an experienced AI engineer who wants to work on large-scale computer vision applications while contributing to a company that impacts millions of customers daily. You'll have the opportunity to shape the future of retail technology while working with a curious and innovative team that champions continuous learning and improvement.

Last updated 13 days ago

Responsibilities For Sr AI Engineer - Computer Vision

  • Scale the platform for high performance and integrate new AI capabilities
  • Design, develop, and implement tools and frameworks that support ML experimentation and deployment
  • Manage GPU and CPU resources to optimize execution of CV/AI models
  • Work closely with data scientists to integrate AI-CV models into platform
  • Create and manage efficient data movement and pipelines
  • Analyze platform performance metrics and drive continuous improvements
  • Collaborate effectively with diverse teams
  • Implement security protocols and governance measures for AI-CV platform

Requirements For Sr AI Engineer - Computer Vision

Python
Kubernetes
  • Bachelor's Degree in science, technology, engineering, math, or related field (or equivalent work experience)
  • 4+ years of Python programming language experience
  • 4+ years hands-on experience in Pytorch, tensorflow and building/deploying Computer Vision models
  • 4+ years of experience working with continuous integration/continuous deployment tools
  • 3+ years hands-on experience OpenCV, scikit-image, or PIL for basic image processing
  • 3+ years of experience working with GPU and CPU infrastructure
  • 3+ years of experience in microservice architecture, Docker, Kubernetes
  • 3+ years of experience with message brokers such as Kafka or RabbitMQ
  • 3+ years of experience in MLflow, Kubeflow, or DVC for managing model lifecycle
  • 3+ years of experience in defining technical requirements and performing high-level design

Benefits For Sr AI Engineer - Computer Vision

401k
Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • Paid time off for vacation, holidays, sick leave, and volunteer time
  • 401k retirement account with company match up to 4.25%
  • Employee Stock Purchase Plan (ESPP) with 15% discount
  • Comprehensive medical, dental and vision insurance
  • 10 weeks paid maternity leave and 4 weeks paid parental leave
  • Adoption assistance
  • Mental health care and Employee Assistance Programs

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