Salary for Senior-level / Expert Computer Vision Engineer in United States during 2023
💰 The median Salary for Senior-level / Expert Computer Vision Engineer in United States during 2023 is USD 210,000
✏️ This salary info is based on 15 individual salaries reported during 2023
Salary details
The average senior-level / expert Computer Vision Engineer salary lies between USD 184,590 and USD 280,000 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.
- Job title
- Computer Vision Engineer
- Experience
- Senior-level / Expert
- Region
- United States
- Salary year
- 2023
- Sample size
- 15
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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: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 jobsTop 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 jobsSalary Composition for Senior Computer Vision Engineers
In the United States, the salary for a Senior 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 often forms the largest portion, 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 the company's performance and individual contributions. Additional remuneration, such as stock options, can be a significant part of the package, particularly in startups or large tech firms, where it might constitute 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 also plays a role; for instance, roles in finance or healthcare might offer higher bonuses, while tech companies might provide more in stock options. Company size can influence the package, with larger companies often providing more comprehensive benefits and smaller companies offering more equity.
Steps to Increase Salary Further
To increase your salary beyond the median of USD 210,000, consider the following strategies:
- Specialize Further: Deepen your expertise in niche areas of computer vision, such as 3D vision, autonomous systems, or AI ethics, which are in high demand.
- Leadership Roles: Transition into leadership or managerial roles, such as a team lead or director of AI, which typically come with higher compensation.
- Consulting or Freelancing: Offer your expertise as a consultant or freelancer, which can command higher hourly rates and provide additional income streams.
- Continuous Learning: Stay updated with the latest advancements in AI/ML and computer vision through courses, workshops, and conferences, which can make you more valuable to employers.
- Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.
Educational Requirements
Most Senior 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 mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:
- TensorFlow Developer Certificate: Validates your ability to build and deploy machine learning models using TensorFlow.
- AWS Certified Machine Learning – Specialty: Demonstrates expertise in building, training, and deploying machine learning models on the AWS platform.
- Microsoft Certified: Azure AI Engineer Associate: Shows proficiency in using Azure AI services to build and integrate AI solutions.
Required Experience
Typically, a Senior 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 and C++. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras is also crucial. Additionally, experience in leading projects or teams can be beneficial for senior roles.
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