Salary for Senior-level / Expert Computer Vision Engineer during 2024

Salary details

The average senior-level / expert Computer Vision Engineer salary lies between USD 138,900 and USD 235,000 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: Nov. 17, 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 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 | 78 jobs Python | 64 jobs Machine Learning | 58 jobs Engineering | 56 jobs Deep Learning | 52 jobs Computer Science | 48 jobs Research | 43 jobs PyTorch | 42 jobs TensorFlow | 34 jobs OpenCV | 28 jobs PhD | 26 jobs Testing | 24 jobs Architecture | 21 jobs 3D Reconstruction | 20 jobs Robotics | 20 jobs ML models | 19 jobs SLAM | 18 jobs AWS | 16 jobs Classification | 16 jobs Industrial | 14 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, 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 | 59 jobs Health care | 24 jobs Team events | 18 jobs Salary bonus | 17 jobs Equity / stock options | 16 jobs Startup environment | 16 jobs Flex hours | 15 jobs Competitive pay | 14 jobs Medical leave | 12 jobs Flex vacation | 11 jobs Parental leave | 10 jobs Insurance | 9 jobs 401(k) matching | 8 jobs Wellness | 7 jobs Unlimited paid time off | 7 jobs Gear | 6 jobs Conferences | 4 jobs Home office stipend | 4 jobs Relocation support | 3 jobs Fitness / gym | 1 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 often forms the largest portion, accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual contributions, usually ranging from 10-20%. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can constitute 10-15% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and competitive job market. Industry-wise, sectors like autonomous vehicles, healthcare, and finance may offer higher compensation due to the specialized nature of the work.

Increasing Salary Further

To increase your salary beyond the median of USD 185,000, consider the following strategies:

• Specialization: Develop expertise in niche areas of computer vision, such as 3D vision, medical imaging, or autonomous systems, which are in high demand.
• Leadership Roles: Transition into roles that combine technical expertise with leadership, such as a team lead or project manager, which often come with higher pay.
• Continuous Learning: Stay updated with the latest advancements in AI/ML and computer vision through courses, workshops, and conferences.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Enhance your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

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 specific coursework in machine learning, computer vision, and image processing.

Helpful Certificates

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

• Certified Computer Vision Professional (CCVP): Offers a comprehensive understanding of computer vision techniques and applications.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.
• TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow for machine learning and deep learning projects.

Required Experience

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

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