Computer Vision Engineer Salary Guide

Computer Vision Engineers design, implement, and deploy algorithms that enable machines to interpret visual data. They build and optimize models for image/video understanding, work with deep learning frameworks, integrate perception systems into products, and collaborate with data engineers, software developers, and domain experts to solve real-world vision problems.

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What is the average Computer Vision Engineer salary?

Entry Level

$90,000 - $120,000

Mid Level

$120,000 - $160,000

Senior Level

$160,000 - $240,000

How does Computer Vision Engineer salary grow with experience?

$90,000 - $120,000
0-2
$120,000 - $160,000
3-5
$150,000 - $200,000
6-9
$180,000 - $250,000++
10+
Base (min)
Top of range (max)
Max: $250k

Computer Vision Engineer salary by location

San Francisco Bay Area / Silicon Valley$160,000 - $250,000
New York City$140,000 - $220,000
Seattle$145,000 - $230,000
Boston$130,000 - $200,000
Austin$120,000 - $190,000
Base (min)
Top of range (max)

What factors affect a Computer Vision Engineer's salary?

  • Domain specialization (autonomous vehicles, medical imaging, robotics)
  • Expertise with deep learning frameworks, model optimization, and MLOps
  • Company size, funding stage, and ability to offer equity/bonuses
  • Location and local cost of living
  • Education, publications/patents, and demonstrable production impact

How to compare Computer Vision Engineer pay figures

The generated ranges in this guide have not been independently source-verified. Check the underlying occupation, location and data period before using a range as a market benchmark. Keep the original source alongside any figure you save. A page updated recently can still contain wages measured in an earlier year, and a broad occupational category may cover several different job titles.

Compare the work as well as the title

Read a vacancy's responsibilities, required experience, working hours and location before placing it beside another role. Two positions called Computer Vision Engineer can have different scope. Record the duties you would own, the team or customers you would support, and any supervisory expectations. Use those details to decide whether a comparison is relevant instead of assuming that a matching title means matching pay.

Keep compensation definitions consistent

Confirm the currency and whether a figure is hourly, monthly or annual. Check the paid hours before converting between periods. Separate guaranteed base pay from bonuses, commissions, overtime, equity and benefits. Ask which parts are guaranteed and which depend on targets, company results or vesting conditions. Compare the same components across offers; a total-compensation figure and a base-salary figure answer different questions.

Identify the statistic too. A median divides the measured workforce into two equal halves. A percentile describes a point in that distribution; it does not automatically describe an entry-level or senior employee. Do not turn national survey percentiles into a personal experience-based pay prediction. Use local, role-relevant evidence when it is available and record any mismatch in coverage.

Build a comparison you can check later

For each job listing, survey or offer, save the role, responsibilities, location, currency, pay period, compensation components, source link and date checked. Mark missing information as unknown. Keep the employer's stated range separate from any expectation you calculate yourself. If the figures differ, first check their definitions and scope rather than averaging incompatible numbers into a new estimate.

When discussing an offer, prepare clear examples of the responsibilities and results you can support with your experience. Ask the recruiter about the role's level, the approved range and how the package is structured. Keep those answers with your comparison so you can assess the offer using confirmed information. This guide gives you questions to investigate; the employer's written terms establish the actual package being offered.

Read the salary source and comparison checklist

Frequently Asked Questions About Computer Vision Engineer Salaries

How much does a Computer Vision Engineer make in the U.S. on average?

Average U.S. ranges: Entry-level $90k–$120k, Mid-level $120k–$160k, Senior $160k–$240k; totals vary with location, equity, and bonuses.

What skills most increase a Computer Vision Engineer's salary?

High-impact skills include production ML deployment (MLOps), deep learning frameworks (PyTorch/TensorFlow), model optimization for edge/embedded, domain expertise (autonomous vehicles, medical imaging), and demonstrated product impact.

Is a Computer Vision Engineer paid more than a general Machine Learning Engineer?

It depends: specialized CV engineers often command a premium in sectors needing vision expertise (autonomy, medical imaging) but may earn similar pay to ML engineers at companies where roles overlap; company, industry, and impact matter most.

Do Computer Vision Engineers typically get equity or bonuses?

Yes — at startups and tech companies, total compensation commonly includes equity, signing bonuses, and performance bonuses; equity can materially increase total pay for mid-to-senior roles.

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