Salary for Senior-level / Expert Computer Vision Engineer during 2023

Salary details

The average senior-level / expert Computer Vision Engineer salary lies between USD 185,000 and USD 245,000 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. 1, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Computer Vision Engineer roles

The three most common job tag items assiciated with senior-level / expert Computer Vision Engineer job listings are Computer Vision, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Computer Vision | 39 jobs Python | 32 jobs Engineering | 32 jobs Machine Learning | 31 jobs Computer Science | 30 jobs Deep Learning | 27 jobs PyTorch | 21 jobs Research | 21 jobs TensorFlow | 18 jobs Pipelines | 17 jobs Robotics | 15 jobs OpenCV | 13 jobs Testing | 12 jobs AWS | 11 jobs CUDA | 11 jobs Docker | 11 jobs Linux | 10 jobs ML models | 10 jobs PhD | 9 jobs Agile | 9 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Computer Vision Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Computer Vision Engineer job listings are Career development, Team events and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 25 jobs Team events | 14 jobs Health care | 13 jobs Flex hours | 11 jobs Startup environment | 11 jobs Flex vacation | 10 jobs Competitive pay | 10 jobs Equity / stock options | 9 jobs Parental leave | 7 jobs Salary bonus | 7 jobs Medical leave | 6 jobs Insurance | 6 jobs 401(k) matching | 5 jobs Wellness | 5 jobs Conferences | 4 jobs Unlimited paid time off | 4 jobs Snacks / Drinks | 3 jobs Home office stipend | 3 jobs Flexible spending account | 2 jobs

Salary Composition

The salary for a Senior-level or Expert Computer Vision Engineer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest portion, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, can be a significant part of the package in startups or large tech firms, potentially adding another 10-20% to the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and equity, while regions with a lower cost of living might offer a more balanced mix. Industry also plays a role; for instance, roles in finance or healthcare might offer higher bonuses, while tech companies might focus more on equity.

Increasing Salary Further

To increase your salary beyond the current position, consider the following strategies:

• Specialization: Deepen your expertise in a niche area of computer vision, such as 3D vision, autonomous systems, or medical imaging, which can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a team lead or director of AI/ML, which typically offer higher compensation.
• Consulting: Offer your expertise as a consultant or freelancer, which can provide higher hourly rates and the flexibility to work with multiple clients.
• Continuous Learning: Stay updated with the latest advancements in AI/ML and computer vision, and consider publishing research or contributing to open-source projects to enhance your reputation and demand.
• Networking: Engage with professional networks and attend industry conferences to increase your visibility and access to higher-paying opportunities.

Educational Requirements

Most Senior-level Computer Vision Engineer positions require at least a Master's degree in Computer Science, Electrical Engineering, or a related field. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or technologies. The educational background should include a strong foundation in mathematics, statistics, and programming, with specialized coursework in machine learning, computer vision, and artificial intelligence.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

• TensorFlow Developer Certificate: Validates your ability to build and deploy machine learning models using TensorFlow.
• AWS Certified Machine Learning – Specialty: Demonstrates your expertise in using AWS services for machine learning and computer vision applications.
• Microsoft Certified: Azure AI Engineer Associate: Shows proficiency in using Azure services for AI solutions.
• Coursera or edX Specializations: Completing specializations in computer vision or deep learning from reputable platforms can also be beneficial.

Required Experience

Typically, a Senior-level Computer Vision Engineer is expected to have 5-10 years of experience in the field. This includes hands-on experience with computer vision algorithms, machine learning frameworks, and programming languages such as Python, C++, or Java. Experience in deploying models in production environments and working with large datasets is also crucial. Prior experience in leading projects or teams can be advantageous for senior roles.

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