Salary for Mid-level / Intermediate Computer Vision Engineer during 2024

Salary details

The average mid-level / intermediate Computer Vision Engineer salary lies between USD 113,050 and USD 219,221 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. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Computer Vision Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Computer Vision Engineer job listings are Computer Vision, Machine Learning and Python. 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 | 42 jobs Machine Learning | 37 jobs Python | 35 jobs Research | 27 jobs Computer Science | 27 jobs Deep Learning | 26 jobs Engineering | 23 jobs PyTorch | 22 jobs TensorFlow | 19 jobs Robotics | 16 jobs Agile | 15 jobs Pipelines | 15 jobs PhD | 14 jobs Statistics | 14 jobs Git | 13 jobs AWS | 12 jobs Docker | 12 jobs Spark | 10 jobs OpenCV | 9 jobs Physics | 9 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Computer Vision Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Computer Vision Engineer job listings are Career development, Health care and Flex hours. 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 | 26 jobs Health care | 15 jobs Flex hours | 9 jobs Equity / stock options | 8 jobs Startup environment | 7 jobs Team events | 7 jobs Salary bonus | 7 jobs Competitive pay | 6 jobs Medical leave | 5 jobs Parental leave | 4 jobs Conferences | 4 jobs Flex vacation | 3 jobs 401(k) matching | 2 jobs Fitness / gym | 2 jobs Relocation support | 2 jobs Wellness | 1 jobs Gear | 1 jobs Insurance | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Computer Vision Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary by region, industry, and company size. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and stock options, while companies in smaller markets might offer more competitive bonuses. Larger companies often provide more comprehensive benefits packages, whereas startups might compensate with equity options.

Increasing Salary

To increase your salary from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in emerging areas like deep learning or neural networks can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into a lead or managerial position can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Industry Change: Some industries, like finance or healthcare, may offer higher salaries for computer vision expertise compared to others.

Educational Requirements

Most mid-level computer vision engineering roles require at least a bachelor's degree in computer science, electrical engineering, or a related field. However, a master's degree is often preferred and can be a significant advantage. Coursework in machine learning, computer vision, and data analysis is crucial. A strong foundation in mathematics, particularly in linear algebra, calculus, and statistics, is also essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile:

• TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow for machine learning and deep learning tasks.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Shows capability in using Azure AI services to build and integrate AI solutions.

Required Experience

Typically, a mid-level computer vision engineer is expected to have 3-5 years of experience in the field. This experience should include hands-on work with computer vision projects, familiarity with relevant programming languages (such as Python and C++), and experience with machine learning frameworks like TensorFlow or PyTorch. Experience in deploying models in production environments and working in cross-functional teams is also valuable.

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