Computer Vision Intern (Summer 26')

The Elevator Pitch  

Do you thrive in fast-paced environments? Do you have a can-do attitude and burning passion for building things from scratch? Does working with cutting-edge machine vision models excite you? Evolv is looking for a Computer Vision Intern to help prototype novel approaches that transform real-time video streams into actionable scene understanding—enabling customers to make smarter, faster decisions about their environments.

In this role, you’ll work hands-on with modern machine vision techniques, build end-to-end prototypes, and contribute directly to the foundation of future product features. You’ll be mentored by a Systems Architect and supported by cross-functional partners across engineering, product, and QA. This internship is ideal for someone who is curious, technically driven, and eager to see their work come to life in a real-world product context.

Success in the Role: What will you accomplish?

Weeks 1–2: Onboarding and Environment Setup

• Get up to speed on Evolv’s technology stack, development workflows, and tooling
• Learn the problem space and define a scoped computer vision project with clear success criteria
• Develop a project plan and delivery timeline
• Begin coding and collecting initial datasets
  

Between Weeks 3–8: Build, Iterate, Learn

• Participate in frequent check-ins with your mentor to review progress and remove blockers
• Experiment with multiple approaches and adapt your design as new insights emerge
• Build increasingly sophisticated prototypes demonstrating scene understanding from video data
• Incorporate feedback from engineering, product, and QA partners
  

By the Week 10: Deliver and Showcase

• Deliver a polished, demo-ready computer vision prototype
• Create a clear, professional presentation explaining your approach, results, and learnings
• Demonstrate working knowledge of modern computer vision models and data curation practices
• Propose a roadmap for future enhancements and next steps

The Work: What type of work will you be doing?

Computer Vision & Machine Learning

• Prototype and tune vision models using curated datasets
• Design, define, and document evaluation metrics
• Assess model performance and iterate on training strategies, parameters, and data
  

Coding

• Write clean, well-documented code (primarily in Python)
• Build supporting tools, scripts, or visualizations to evaluate and demonstrate model outputs
• Use JavaScript, React, and Node.js as needed to support lightweight UI components or visual demos (bonus)
  

Data Collection and Labeling

• Collect large, diverse datasets from multiple sources
• Design pipelines to automate or streamline image and video labeling
• Curate and maintain high-quality training and validation datasets

Cross-Functional Collaboration 

• Partner with QA to validate functionality and ensure high-quality outputs
• Work with Product Managers to understand customer problems and translate requirements into technical solutions
• Collaborate with Design and UX partners when contributing to user-facing workflows
  

Documentation & Communication

• Clearly document your technical approach, trade-offs, and outcomes
• Produce a visually compelling and technically detailed final presentation of your work

What We Look for in Applicants? 

We read every application. To be considered, please ensure you: 

• Are Pursuing a degree in Computer Science, Software Engineering or a related field

• Have experience developing in Python
• Have experience with JavaScript, Node.js or frontend visualization tools
• Are comfortable working in Windows, Linux or cross-platform environments
• Have coursework or hands-on experience related to computer vision, machine learning, image processing, or data science
• Bonus points for: PyTorch, TensorFlow and/or familiarity of video processing, real-time systems, or sensor data

Your cover letter explains why you’re interested, and why you believe you’re a good fit for this internship.  We value curiosity, a willingness to learn, and the drive to contribute to impactful work. 

Where is the role located?  

The location of this role is based onsite in Waltham, MA with flexibility to commute outside peak traffic hours. Occasional remote work may be approved by your manager. Relocation assistance is not provided.