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

Salary details

The average senior-level / expert Computer Vision Engineer salary lies between USD 177,008 and USD 243,900 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 for Senior-Level Computer Vision Engineers

In the United States, the salary for a Senior-level or Expert Computer Vision Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, and may account for 10-20% of the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and equity options compared to other regions. Industry and company size also play a role; larger companies or those in high-demand sectors like autonomous vehicles or healthcare AI may offer more competitive packages.

Steps to Increase Salary Further

To increase your salary beyond the median of $200,000, consider pursuing leadership roles such as a team lead or managerial position, which often come with higher pay. Specializing in niche areas within computer vision, such as 3D vision or AI ethics, can also make you more valuable. Additionally, contributing to open-source projects or publishing research can enhance your reputation and lead to higher-paying opportunities. Networking within industry circles and attending conferences can also open doors to higher-paying roles. Finally, consider negotiating your salary by leveraging offers from other companies or demonstrating your impact on the company's bottom line.

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 artificial intelligence.

Helpful Certifications

While not always required, certain certifications can enhance your qualifications and demonstrate expertise. Certifications such as the TensorFlow Developer Certificate or AWS Certified Machine Learning – Specialty can be beneficial. Additionally, completing specialized courses from platforms like Coursera or edX in computer vision or deep learning can also be advantageous.

Required Experience

Typically, a Senior-level Computer Vision Engineer is expected to have at least 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 and C++. Experience with deep learning frameworks like TensorFlow or PyTorch is also crucial. Prior experience in leading projects or teams can be a significant advantage.

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