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

Salary details

The average mid-level / intermediate Computer Vision Engineer salary lies between USD 138,900 and USD 220,400 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

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 | 38 jobs Machine Learning | 34 jobs Python | 32 jobs Deep Learning | 25 jobs Research | 24 jobs Computer Science | 24 jobs PyTorch | 21 jobs Engineering | 21 jobs TensorFlow | 18 jobs Agile | 14 jobs Pipelines | 14 jobs Statistics | 14 jobs Robotics | 12 jobs AWS | 12 jobs Git | 12 jobs PhD | 11 jobs Docker | 11 jobs OpenCV | 9 jobs Spark | 9 jobs Physics | 8 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 | 23 jobs Health care | 13 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 Conferences | 4 jobs Medical leave | 4 jobs Parental leave | 3 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 Fertility benefits | 1 jobs

Salary Composition for a Mid-level Computer Vision Engineer

The salary for a mid-level Computer Vision Engineer in the United States 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 in larger tech companies or startups, potentially making up 10-20% of the total compensation.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry variations are notable as well, with sectors like finance or healthcare potentially offering higher bonuses compared to academia or smaller startups. Company size can influence the compensation structure, with larger companies often providing more comprehensive benefits and stock options.

Steps to Increase Salary from a Mid-level Position

To increase your salary beyond the mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in computer vision and machine learning. Specializing in niche areas like deep learning, neural networks, or AI ethics can make you more valuable.

• Advanced Education: Pursuing a master's or Ph.D. in a related field can open doors to higher-level positions and increase earning potential.

• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to higher salaries.

• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

• Industry Switch: Moving to a higher-paying industry, such as finance or autonomous vehicles, can result in a salary increase.

Educational Requirements

Most mid-level Computer Vision Engineer positions 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, artificial intelligence, and computer vision is crucial. A strong foundation in mathematics, particularly in linear algebra, calculus, and statistics, is also essential.

Helpful Certifications

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

• Certified Computer Vision Professional (CCVP): This certification can demonstrate your expertise in computer vision technologies.

• TensorFlow Developer Certificate: Useful for showcasing your skills in using TensorFlow for machine learning and computer vision tasks.

• AWS Certified Machine Learning – Specialty: Beneficial if you are working with cloud-based machine learning solutions.

Experience Requirements

Typically, a mid-level Computer Vision Engineer is expected to have 3-5 years of relevant experience. This experience should include hands-on work with computer vision projects, familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience in programming languages such as Python or C++. Experience in deploying models in production environments and working with large datasets is also highly valued.

Related salaries

Want to contribute?