Computer Vision Engineer Salary in 2024

Salary details

The average Computer Vision Engineer salary lies between USD 113,050 and USD 220,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Salary trend

Top 20 Job Tags for Computer Vision Engineer roles

The three most common job tag items assiciated with Computer Vision Engineer job listings are Computer Vision, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Computer Vision | 161 jobs Python | 136 jobs Machine Learning | 128 jobs Engineering | 107 jobs Deep Learning | 101 jobs Research | 95 jobs Computer Science | 95 jobs PyTorch | 85 jobs TensorFlow | 68 jobs OpenCV | 47 jobs PhD | 47 jobs Robotics | 44 jobs 3D Reconstruction | 39 jobs AWS | 36 jobs Testing | 36 jobs Agile | 36 jobs Architecture | 35 jobs Docker | 35 jobs Pipelines | 34 jobs Git | 34 jobs

Top 20 Job Perks/Benefits for Computer Vision Engineer roles

The three most common job benefits and perks assiciated with Computer Vision Engineer job listings are Career development, Health care and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 114 jobs Health care | 54 jobs Team events | 38 jobs Salary bonus | 37 jobs Flex hours | 34 jobs Equity / stock options | 33 jobs Startup environment | 27 jobs Medical leave | 26 jobs Competitive pay | 23 jobs Parental leave | 18 jobs Flex vacation | 18 jobs 401(k) matching | 14 jobs Conferences | 14 jobs Insurance | 12 jobs Wellness | 11 jobs Unlimited paid time off | 11 jobs Gear | 7 jobs Relocation support | 7 jobs Home office stipend | 5 jobs Fitness / gym | 4 jobs

Salary Composition for a Computer Vision Engineer

The salary for a Computer Vision Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the compensation package is composed of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech startups or large tech companies. In regions like Silicon Valley, the base salary might be higher due to the cost of living, while bonuses and stock options can form a substantial part of the total compensation. In contrast, in regions with a lower cost of living, the base salary might be lower, but the overall package can still be competitive due to other benefits. In industries like healthcare or automotive, where computer vision is increasingly applied, the salary might also include project-based bonuses or profit-sharing schemes.

Steps to Increase Salary from a Computer Vision Engineer Position

To increase your salary from a Computer Vision Engineer position, consider the following strategies:

• Specialize Further: Gain expertise in niche areas of computer vision, such as 3D vision, autonomous systems, or medical imaging, which are in high demand.
• Pursue Leadership Roles: Transition into roles like a team lead or project manager, where you can leverage your technical skills and gain managerial experience.
• Expand Your Skill Set: Learn complementary skills such as machine learning, deep learning frameworks, or data engineering to broaden your expertise.
• Network and Build a Personal Brand: Attend industry conferences, contribute to open-source projects, and publish research to increase your visibility and reputation in the field.
• Consider Relocation: Explore opportunities in regions or companies known for higher compensation packages.

Educational Requirements for a Computer Vision Engineer

Most Computer Vision Engineer positions require at least a bachelor's degree in computer science, electrical engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving research and development. Advanced degrees provide a deeper understanding of algorithms, machine learning, and image processing, which are crucial for tackling complex computer vision problems.

Helpful Certifications for a Computer Vision Engineer

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:

• Deep Learning Specialization by Coursera: Offered by Andrew Ng, this course provides a solid foundation in deep learning, which is essential for computer vision.
• Microsoft Certified: Azure AI Engineer Associate: Useful if you are working with AI solutions on the Azure platform.
• AWS Certified Machine Learning – Specialty: Beneficial for those working with machine learning models on AWS.
• OpenCV Certification: Demonstrates proficiency in using OpenCV, a popular library for computer vision tasks.

Experience Required for a Computer Vision Engineer

Typically, employers look for candidates with 2-5 years of experience in computer vision or related fields. This experience should include hands-on work with image processing, machine learning models, and relevant programming languages such as Python or C++. Experience with deep learning frameworks like TensorFlow or PyTorch is also highly valued. Additionally, experience in deploying models in production environments and working on real-world projects can set you apart from other candidates.

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