Computer Vision Engineer Job Description Template

Need a skilled Computer Vision Engineer fast? Use our job description template to attract top talent and streamline your hiring for high-performance web apps.

Written by Phat V.Senior Data Engineer - AI, Machine Learning and Deep Learning Platforms · Softaims Computer Vision Engineer network

Computer vision is a rapidly evolving field at the intersection of artificial intelligence and image processing, enabling machines to interpret and understand the visual world. This technology is transforming industries by providing machines with the ability to see, identify, and process images in a way similar to human vision.

The demand for computer vision developers is soaring as businesses increasingly rely on this technology to enhance automation, improve decision-making processes, and create innovative solutions. From autonomous vehicles to facial recognition systems, the applications of computer vision are vast and varied.

As a computer vision developer, you will be at the forefront of developing cutting-edge solutions that leverage deep learning and neural networks to analyze visual data. This role requires a blend of technical expertise, creativity, and problem-solving skills to push the boundaries of what machines can achieve.

Organizations across sectors such as healthcare, retail, manufacturing, and security are seeking skilled computer vision developers to help them harness the power of visual data. The role offers exciting opportunities to work on groundbreaking projects that have the potential to change the world.

Joining the field of computer vision not only promises a rewarding career with competitive compensation but also the chance to be part of a community that is shaping the future of technology. If you're passionate about AI and visual computing, this is the perfect time to advance your career in computer vision.

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Computer Vision Engineer Job Description Template

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Job Description:

As a Mid-Level Computer Vision Engineer, you will be responsible for designing, implementing, and optimizing computer vision algorithms that drive key product features. You will own medium-sized features end-to-end, ensuring they are delivered with high quality and performance. Collaborating closely with product managers, designers, and backend engineers, you will translate product requirements into technical specifications and robust solutions. Success in this role means consistently delivering features on time, with minimal bugs, and contributing to the overall vision of our product roadmap.

This role requires a strong understanding of computer vision principles and the ability to apply them in production environments. You will be expected to debug complex issues, optimize algorithms for performance, and ensure the scalability of solutions. Your work will directly impact the user experience, enabling innovative functionality and improving existing features. You will also participate in code reviews and contribute to the continuous improvement of our engineering practices.

Tech Stack:

  • Framework/UI: Utilize OpenCV and TensorFlow for developing computer vision applications, ensuring seamless integration with existing systems.
  • Language: Write efficient and maintainable code in Python and C++, focusing on performance-critical sections of the application.
  • State and data: Implement data pipelines using NumPy and Pandas to preprocess and manage large datasets for training and inference.
  • Styling/design system: Collaborate with UI/UX designers to ensure that computer vision outputs align with our design system and enhance user interactions.
  • API integration: Develop RESTful APIs using Flask or FastAPI to expose computer vision models as services, facilitating easy integration with frontend applications.
  • Testing: Leverage PyTest and unittest for writing unit and integration tests, ensuring the reliability of computer vision algorithms.
  • Build and deployment: Use Docker and Kubernetes for containerization and orchestration, streamlining the deployment of computer vision services.
  • Observability: Implement logging and monitoring using ELK stack to track performance metrics and debug issues in production environments.
  • Collaboration/platform: Use GitHub for version control and collaboration, ensuring code quality through pull requests and code reviews.

How We Work:

  • Our squads operate in agile sprints, with a focus on delivering incremental value to our users through regular releases.
  • Collaborate closely with product and design teams to refine requirements and ensure that technical solutions meet user needs.
  • Participate in code reviews, providing constructive feedback to peers and maintaining high code quality standards.
  • Release cadence is bi-weekly, with a strong emphasis on automated testing and continuous integration to ensure stability.
  • Documentation is a critical part of our workflow, with engineers expected to maintain clear and concise documentation for their features.
  • Work closely with QA partners to define test plans and ensure comprehensive coverage of new and existing features.
  • Monitor production systems using observability tools, responding quickly to incidents and continuously improving system reliability.
  • Technical decision-making is collaborative, with engineers encouraged to propose solutions and drive discussions on architectural improvements.

Job Responsibilities:

  • Develop and implement computer vision algorithms to solve complex problems and enhance product features.
  • Integrate computer vision models with backend services, ensuring seamless data flow and performance optimization.
  • Manage state and data flow within applications, leveraging appropriate tools to maintain efficiency and scalability.
  • Write and maintain unit and integration tests to ensure the reliability and accuracy of computer vision solutions.
  • Optimize algorithms for performance, focusing on reducing latency and improving throughput in production environments.
  • Ensure accessibility of computer vision features, collaborating with design teams to meet diverse user needs.
  • Debug and resolve complex production issues, utilizing logging and monitoring tools to identify root causes.
  • Document technical specifications and implementation details, contributing to the knowledge base of the engineering team.
  • Participate in code reviews, providing feedback and identifying areas for improvement in peers' work.
  • Collaborate with cross-functional teams to align on project goals and deliverables, ensuring timely delivery of features.
  • Contribute to the continuous improvement of engineering practices, advocating for best practices in computer vision development.
  • Stay updated with the latest advancements in computer vision and machine learning, integrating new techniques as appropriate.

Required Skills:

  • 3+ years of professional experience in software development, with at least 2 years focused on computer vision in production environments.
  • Strong proficiency in Python and C++, with a deep understanding of language-specific optimizations and best practices.
  • Proven experience in debugging complex issues in production systems, utilizing tools like gdb and Valgrind.
  • Solid understanding of testing methodologies, with experience in writing unit and integration tests using PyTest or unittest.
  • Proficient in using Git for version control, with a track record of collaborative development through pull requests and code reviews.
  • Experience with API integration, particularly in exposing machine learning models as RESTful services.
  • Awareness of performance tuning techniques, with a focus on optimizing computer vision algorithms for speed and efficiency.
  • Strong estimation skills, with the ability to accurately scope and prioritize tasks within an agile framework.
  • Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Nice to Have:

  • Experience with advanced computer vision frameworks like PyTorch or Keras, enhancing the ability to implement cutting-edge models.
  • Familiarity with design systems and their application in ensuring consistent visual outputs from computer vision applications.
  • Knowledge of visual regression testing tools, aiding in the detection of unintended changes in computer vision outputs.
  • Understanding of accessibility standards and their application in computer vision, ensuring solutions are inclusive and user-friendly.
  • Experience with internationalization (i18n) in computer vision applications, accommodating diverse user demographics.
  • Exposure to cloud platforms like AWS or GCP, particularly in deploying and scaling computer vision services.
  • Experience in regulated industries (e.g., healthcare, finance), where compliance and data privacy are critical considerations.
  • Familiarity with analytics and experimentation frameworks, enabling data-driven decision-making in product development.

Interview Process:

  1. Initial Screening (30 minutes): A conversation with our recruiter to discuss your background, experience, and interest in the role.
  2. Technical Assessment (1 hour): A practical coding exercise focusing on computer vision challenges, assessing problem-solving skills and technical knowledge.
  3. Technical Interview (1.5 hours): An in-depth discussion with senior engineers, focusing on your experience with computer vision projects and specific technologies.
  4. Team Fit Interview (1 hour): Meet with cross-functional team members to evaluate cultural fit and collaboration skills.
  5. Final Interview (1 hour): A session with the engineering manager to discuss career goals, expectations, and potential contributions to the team.

Perks and Benefits:

  • Competitive compensation package, including base salary, performance bonuses, and stock options.
  • Comprehensive healthcare coverage, including medical, dental, and vision insurance for employees and their families.
  • Generous paid time off (PTO) policy, including vacation days, personal days, and company holidays.
  • Annual learning and development budget, supporting continuous professional growth and skill enhancement.
  • Flexible remote and hybrid work options, accommodating diverse working preferences and lifestyles.
  • State-of-the-art equipment and tools, ensuring a productive and efficient work environment.
  • 401(k) retirement plan with company matching, helping employees secure their financial future.
  • Opportunities for career progression and leadership development within a growing engineering team.
  • Inclusive and collaborative engineering culture, fostering innovation and creativity in solving complex problems.
  • Access to company-sponsored wellness programs, promoting physical and mental well-being.

Salary Expectations:

For a Mid-Level Computer Vision Engineer in 2026, the expected salary range is between $90,000 and $130,000 USD annually. This range can vary based on factors such as location, company size, industry, and the specific skills and experience of the candidate. Companies in major tech hubs or those offering specialized computer vision solutions may offer higher compensation. Additionally, total compensation may include bonuses, stock options, and other incentives, particularly for roles with a remote or hybrid setup.

About the Author

  • Author icon

    By Marcelo O.

  • ✓ Verified Expert
  • Experience icon

    10 years of experience

My name is Marcelo O. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.. I hold a degree in Engineer's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Powering Project Success with Data Engineering, Automating Sports Data Collection with AI, Object detection, segmentation and tracking for warehouse management, Hand gesture recognition in sign language, Pose detection for a real-life swimming pool game. I am based in Montevideo, Uruguay. I've successfully completed 5 projects while developing at Softaims.

I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.

My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.

Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.

Previously worked at:eidos.ai

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Reza V., Software Engineer - AI, Python and Computer Vision Platforms at Softaims

Reza V.

Indonesia

computer-vision

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Timezone: UTC+07:00UTC+07:00
Country: IndonesiaIndonesia
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Jay V., Lead Software Engineer - AI, Machine Learning and Computer Vision Platforms at Softaims

Jay V.

India

computer-vision

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Timezone: UTC+05:30UTC+05:30
Country: IndiaIndia
Ahmedabad
Jay V. | SoftaimsMember Since 2017
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Nader E., Senior Software Engineer - AI, Machine Learning and Computer Vision Platforms at Softaims

Nader E.

Austria

computer-vision

Verified BadgeVerified Expert in Engineering
Timezone: UTC+02:00UTC+02:00
Country: AustriaAustria
Vienna
Nader E. | SoftaimsMember Since 2019
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Dmitriy K., Software Engineer - AI, Machine Learning and Computer Vision Platforms at Softaims

Dmitriy K.

Ukraine

computer-vision

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Timezone: UTC+02:00UTC+02:00
Country: UkraineUkraine
Kharkiv
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Computer VisionTensorFlowOpenCVDeep LearningKerasPythonMachine LearningMatplotlibPySparkSeabornArtificial Neural NetworkConvolutional Neural NetworkArtificial IntelligencePyTorchSciPyAnythingDevinVibeCode

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Antonio L.

Mexico

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Timezone: UTC-07:00UTC-07:00
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Matthew M.

Canada

computer-vision

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Timezone: UTC-02:30UTC-02:30
Country: CanadaCanada
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Priyanshu S., Junior Software Engineer - AI, Machine Learning and Computer Vision at Softaims

Priyanshu S.

India

computer-vision

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Timezone: UTC+05:30UTC+05:30
Country: IndiaIndia
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An N., Software Engineer - AI, Backend and Computer Vision at Softaims

An N.

Vietnam

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Verified BadgeVerified Expert in Engineering
Timezone: UTC+07:00UTC+07:00
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Terence B., Lead Software Engineer - Embedded Systems, Machine Learning and Computer Vision at Softaims

Terence B.

Philippines

computer-vision

Verified BadgeVerified Expert in Engineering
Timezone: UTC+08:00UTC+08:00
Country: PhilippinesPhilippines
Lapu-Lapu
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Balyogi Mohan D., Senior Software Engineer - AI, Machine Learning and Computer Vision Platforms at Softaims

Balyogi Mohan D.

France

computer-vision

Verified BadgeVerified Expert in Engineering
Timezone: UTC+01:00UTC+01:00
Country: FranceFrance
Lille
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