Computer Vision / Applied AI Intern — Summer 2027 at Simbe Robotics | CA, US | Rezi

Computer Vision / Applied AI Intern — Summer 2027 at Simbe Robotics

Computer Vision / Applied AI Intern — Summer 2027

Simbe Robotics · CA, US

2 weeks ago

Computer Vision / Applied AI Intern — Summer 2027

Simbe Robotics · CA, US

15 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Computer Vision / Applied AI Intern — Summer 2027 role.

Rezi rewrites your resume against Simbe Robotics's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Computer Vision / Applied AI Intern — Summer 2027 posting at Simbe Robotics — free, in seconds.

About the Role

Simbe is seeking a Computer Vision / Applied AI Intern to enhance the computer vision systems that convert imagery from autonomous robots into actionable retail intelligence. This internship offers hands-on experience applying computer vision and machine learning to real-world data and production systems at scale.

Responsibilities

  • Own and contribute to a scoped project aligned with the Computer Vision / Applied AI team’s priorities.
  • Develop, test, and evaluate computer vision and machine learning solutions using Python and modern ML frameworks.
  • Work with production image datasets to identify patterns, failure modes, and improvement opportunities.
  • Contribute to areas such as object detection, OCR, barcode decoding, segmentation, dataset curation, annotation quality, model evaluation, or error mining.
  • Build or improve tools for dataset analysis, model evaluation, experimentation, or production workflows.
  • Write maintainable, well-structured code and contribute tests.
  • Use quantitative analysis to evaluate model performance and communicate findings.
  • Collaborate with engineers across Computer Vision, Applied AI, Data, Robot Software, and other technical teams.
  • Communicate progress, technical decisions, challenges, and results.
  • Present project, approach, results, and key learnings at the end of the program.

Requirements

  • Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Robotics, Machine Learning, Data Science, or a related technical field.
  • Strong Python programming skills, including familiarity with common data structures, algorithms, and software development practices.
  • Coursework or hands-on experience in computer vision, machine learning, or deep learning.
  • Experience with PyTorch, TensorFlow, or a comparable machine learning framework.
  • Experience working with structured Python projects beyond notebooks.
  • Familiarity with Git or another source-control system.
  • Comfortable working with data to evaluate results, investigate failures, and support technical decisions.
  • Strong technical problem-solving skills and willingness to work through ambiguous or unfamiliar problems.
  • Strong communication and collaboration skills.

Skills

  • Python
  • PyTorch
  • TensorFlow
  • Git
  • Object detection
  • Image segmentation
  • OCR
  • Barcode recognition
  • Image classification
  • Data analysis
  • Machine learning frameworks
  • Computer vision

Location

  • Burlingame, California

Work Type

  • Full-time
  • Internship

Experience Level

  • Intern

Education Level

  • BS
  • MS
  • PhD

Salary/Compensations

  • $48 - $48 an hour

Benefits

  • Structured midpoint feedback
  • Regular opportunities to collaborate with and learn from Simbe engineers
  • A final project presentation at the end of the internship

About the Company

  • Simbe is building the AI-powered operating system for physical retail.
  • Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers.
  • Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer-focused product design.
  • Simbe Values: R. E. T. A. I. L. (Result Driven, Empathetic, Transparent, Agile, Innovative, Leaders).