Computer Vision Engineer Salary in United States during 2023

Salary details

The average Computer Vision Engineer salary lies between USD 184,590 and USD 235,000 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.

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: Dec. 1, 2024

Salary trend

Top 20 Job Tags for Computer Vision Engineer roles

The three most common job tag items assiciated with 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 2023 and the number of open jobs that where associated with them during that period:

Computer Vision | 90 jobs Python | 77 jobs Machine Learning | 68 jobs Deep Learning | 66 jobs Engineering | 65 jobs Computer Science | 63 jobs PyTorch | 47 jobs TensorFlow | 46 jobs Research | 44 jobs OpenCV | 32 jobs Pipelines | 29 jobs Robotics | 25 jobs PhD | 23 jobs Docker | 23 jobs Testing | 22 jobs CUDA | 21 jobs Architecture | 20 jobs Linux | 19 jobs Classification | 18 jobs AWS | 16 jobs

Top 20 Job Perks/Benefits for Computer Vision Engineer roles

The three most common job benefits and perks assiciated with 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 | 61 jobs Team events | 27 jobs Health care | 25 jobs Startup environment | 23 jobs Flex hours | 20 jobs Equity / stock options | 15 jobs Competitive pay | 15 jobs Flex vacation | 14 jobs Medical leave | 9 jobs Parental leave | 8 jobs 401(k) matching | 7 jobs Wellness | 7 jobs Insurance | 7 jobs Salary bonus | 7 jobs Relocation support | 6 jobs Conferences | 5 jobs Unlimited paid time off | 5 jobs Snacks / Drinks | 4 jobs Home office stipend | 4 jobs Fitness / gym | 3 jobs

Salary Composition for a Computer Vision Engineer

The salary for a Computer Vision Engineer in the United States 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 about 70-80% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. In tech hubs like Silicon Valley, equity or stock options can be a substantial part of the compensation, sometimes making up 10-30% of the total package. Larger companies or those in high-demand regions may offer more competitive packages, while smaller startups might compensate with higher equity stakes.

Steps to Increase Salary

To increase your salary beyond the median of USD 210,000, consider the following strategies:

• Specialize Further: Gain expertise in niche areas within computer vision, such as 3D vision, autonomous systems, or deep learning, which are in high demand.
• Leadership Roles: Transition into roles that involve leading teams or projects, such as a Lead Computer Vision Engineer or a Manager of AI/ML teams.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML and computer vision. Attending workshops, conferences, and pursuing advanced certifications can be beneficial.
• Networking: Build a strong professional network in the AI/ML community. This can lead to opportunities in higher-paying roles or companies.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

Educational Requirements

Most 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 or Ph.D. is often preferred, especially for roles involving research and development. Advanced degrees provide a deeper understanding of machine learning algorithms, computer vision techniques, and data analysis, which are crucial for this role.

Helpful Certifications

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

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

Required Experience

Typically, employers look for candidates with 3-5 years of experience in AI/ML or related fields. Experience in developing and deploying computer vision models, working with large datasets, and using frameworks like TensorFlow, PyTorch, or OpenCV is often required. Experience in specific industries, such as automotive, healthcare, or robotics, can also be advantageous.

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