Computer Vision Engineer Job Description Template

Create a great Computer Vision Engineer job post with our ready-to-use template. Perfect for job boards and easy to customize for your needs.
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If you’re hiring a specific type of engineering roles, you can use this template as a foundation and customize  it to highlight the responsibilities, skills, and qualifications relevant to that role.

Computer Vision Engineer Job Description Template

Computer Vision Engineer Job Description Template

Use this template to craft job descriptions for hiring Computer Vision Engineers. Tailor it to reflect your organization’s specific goals and technical needs.

Job Title: Computer Vision Engineer
Location: [Specify Location or Remote]
Job Type: [Full-time/Part-time/Contract]

About the Role

We are seeking a talented and innovative Computer Vision Engineer to develop and optimize vision-based solutions for real-world applications. You will play a pivotal role in designing algorithms, building models, and deploying systems that make sense of images and videos, driving our technology forward.

If you’re passionate about solving complex problems, integrating cutting-edge machine learning techniques, and working cross-functionally to create meaningful impact, this is the role for you.

Responsibilities

  • Develop and implement algorithms for object detection, classification, and image segmentation.
  • Create computer vision models using frameworks such as TensorFlow, PyTorch, or OpenCV.
  • Optimize machine learning models for real-time performance and scalability.
  • Analyze and preprocess image and video datasets for training and testing.
  • Collaborate with software and hardware teams to integrate vision-based solutions into products.
  • Evaluate and benchmark algorithms against performance metrics to ensure quality.
  • Conduct research on emerging trends in computer vision and propose innovative solutions.
  • Troubleshoot and resolve performance issues in deployed vision systems.
  • Write and maintain technical documentation, including specifications and testing reports.
  • Address security and privacy concerns related to vision-based technologies.

Required Skills & Experience

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
  • Strong experience in computer vision, machine learning, and deep learning algorithms.
  • Proficiency with programming languages such as Python, C++, or Java.
  • Expertise in computer vision libraries and tools like OpenCV, PIL, or scikit-image.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of image and video data processing techniques.
  • Familiarity with GPU programming and optimization using CUDA or similar technologies.
  • Excellent problem-solving skills with the ability to debug complex vision systems.
  • Proficiency in working with large datasets and cloud-based training environments.
  • Effective communication and teamwork abilities to collaborate with diverse groups.

Nice-to-Have Skills

  • Knowledge of 3D vision techniques, such as SLAM, stereoscopy, or LiDAR processing.
  • Experience with edge AI or deploying computer vision models on embedded devices.
  • Familiarity with Reinforcement Learning and its applications in vision tasks.
  • Understanding of advanced generative models (GANs, VAEs) for image synthesis.
  • Experience with tools like TensorRT or Core ML for efficient deployment.
  • Background in robotics, autonomous vehicles, or augmented reality (AR) development.
  • Research experience in publishing papers or patents related to computer vision.

Why Join Us?

  • Innovative Challenges: Work on cutting-edge computer vision solutions that push technological boundaries.
  • Collaborative Team: Join a diverse and supportive team of professionals passionate about innovation.
  • Career Growth: Access opportunities for certifications, advanced training, and leadership development.
  • Flexible Environment: Enjoy remote or hybrid work options to support your work-life balance.
  • Inclusive Culture: Be part of an environment where diversity is valued and all contributions are recognized.

Apply Now

Are you ready to build intelligent systems that see and understand the world? Join [Your Company Name] as a Computer Vision Engineer and help us advance the frontier of what’s possible. Apply today!

Frequently Asked Questions
What is the purpose of this Computer Vision Engineer Job Description Template?

This template provides a standardized format for creating professional job descriptions that effectively communicate role requirements, responsibilities, and company information to potential candidates. It helps ensure consistency across your organization’s hiring materials while saving time in the recruitment process.

Replace all placeholder text with information specific to your open position. Pay special attention to sections like requirements, responsibilities, and qualifications to ensure they accurately reflect the needs of the role.

This job description template helps in recruitment by clearly defining the role and expectations, attracting qualified candidates, and streamlining the selection process. It serves as a reference during interviews and evaluations.

  • Include relevant keywords and industry-standard job titles
  • Use common terminology for skills and qualifications
  • Structure your content with clear headings
  • Avoid excessive formatting that might not translate across platforms
  • Ensure mobile-friendly content (concise paragraphs, scannable bullets)

Essential sections include:

  • Job title
  • Company overview
  • Position summary
  • Key responsibilities
  • Required qualifications/skills
  • Preferred qualifications
  • Compensation and benefits information
  • Equal opportunity statement

Strong Introduction:

  • Highlight technical challenges and impact
  • Mention key technologies and team culture

Specific Responsibilities:

  • Use concrete examples instead of vague statements
  • Clarify collaboration expectations and decision authority

Clear Requirements:

  • Separate must-have from nice-to-have skills
  • Include both technical and professional qualifications

Showcase Culture:

  • Describe engineering practices (code reviews, pair programming)
  • Highlight growth opportunities and unique developer benefits
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