Deep Learning Infrastructure Intern (Summer, Full-Time)
Pittsburgh, PA
Applications have closed
Agot is a mid-sized late-seed stage startup with a computer vision platform for enterprise foodservice. Our customers include some of the largest enterprise foodservice brands in the world. Agot is backed by deep industry strategics including Yum Brands (Taco Bell, KFC, Pizza Hut), Continental Grain Corp, Mark Cuban, Kitchen Fund, Morado Ventures, and a number of deep foodservice strategics.
Agot AI is seeking a highly motivated and enthusiastic Deep Learning Infrastructure Intern to join our team. As a Deep Learning Infrastructure Intern, you will work closely with our infra and computer vision teams, receiving mentorship and contributing to our AI-powered engine to revolutionize the food service industry. You will be responsible for ensuring the stability, scalability, and reliability of our deep learning infrastructure.
This role is in-person.
Benefits: Flexible schedule, part-time or full-time, Transportation reimbursement, Free in-office lunch, daily!
Schedule: Monday to Friday, Self-determined schedule
Agot AI is seeking a highly motivated and enthusiastic Deep Learning Infrastructure Intern to join our team. As a Deep Learning Infrastructure Intern, you will work closely with our infra and computer vision teams, receiving mentorship and contributing to our AI-powered engine to revolutionize the food service industry. You will be responsible for ensuring the stability, scalability, and reliability of our deep learning infrastructure.
Requirements
- Currently enrolled in a university or recent graduate studying in the following areas
- Computer Science, Electrical Engineering, or a related field with a focus on deep learning
- Familiarity with cloud infrastructure, such as AWS or GCP
- Experience with containerization and container orchestration, such as Docker and Kubernetes
- Familiarity with distributed computing and GPU clusters
- Experience with automated testing and monitoring tools
- Strong problem-solving skills and attention to detail
- Hardworking team player who is eager to learn
Responsibilities
- Monitor and troubleshoot production systems to ensure system stability, reliability, and scalability
- Participate in the development and maintenance of automated testing and monitoring tools
- Support and prepare edge deployments and edge infrastructure
- Develop and maintain infrastructure as code using configuration management tools
- Participate in capacity planning and cost optimization efforts
- Research and recommend new tools and technologies to improve the efficiency and effectiveness of our deep learning infrastructure
- Work collaboratively with cross-functional teams, including software development, DevOps, and product management, to ensure successful deployment of new features and products
This role is in-person.
Benefits: Flexible schedule, part-time or full-time, Transportation reimbursement, Free in-office lunch, daily!
Schedule: Monday to Friday, Self-determined schedule
Job stats:
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Categories:
Deep Learning Jobs
Machine Learning Jobs
Tags: AWS Computer Science Computer Vision Deep Learning DevOps Docker Engineering GCP GPU Kubernetes Research Testing
Perks/benefits: Career development Flex hours Startup environment
Region:
North America
Country:
United States
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