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👉 Remote Jobs Network4 days ago
11 - 50
Hiring Senior Computer Vision Engineer to improve mobile 3D capture pipeline.
🇺🇸 United States – Remote
💵 $185k - $255k / year
💰 Seed Round on 2020-12
⏰ Full Time
🟠 Senior
👁️ Computer Vision Engineer
6 days ago
11 - 50
Senior Computer Vision Engineer developing wildfire detection algorithms using AI and imaging data.
May 9
1001 - 5000
Machine learning role for Samsara's Computer Vision team to analyze sensor data.
🇨🇦 Canada – Remote
💵 $85.4k - $110.5k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👁️ Computer Vision Engineer
May 9
1001 - 5000
Scientist generating insights from customer interactions and sensor data.
🇺🇸 United States – Remote
💵 $113k - $190k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👁️ Computer Vision Engineer
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The average salary for remote computer vision engineers is $152,241 per year. This is based on data from 22 job openings.
Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate computer vision engineer salaries.
Below is a breakdown of salary data by years of experience:
Experience | Number of roles analyzed | Average Salary |
---|---|---|
🟡 Mid-level Computer Vision Engineer (2-4 yrs) | 7 | $130,645 |
🟠 Senior Computer Vision Engineer (5-9 yrs) | 12 | $147,899 |
🔴 Lead Computer Vision Engineer (10+ yrs) | 3 | $220,000 |
You need strong programming skills in languages like Python and C++, expertise in machine learning and image processing, proficiency in libraries such as OpenCV and TensorFlow, and a solid understanding of algorithms and computer vision techniques. Analytical thinking and problem-solving skills are essential.
Typically, a degree in computer science, engineering, or a related field is required. Relevant experience with computer vision projects and a strong portfolio showcasing your work are often more important than formal credentials. Certifications in machine learning or computer vision may also be helpful.
Responsibilities include designing and implementing computer vision algorithms, developing and training machine learning models, analyzing visual data, collaborating with other engineers and data scientists, and optimizing algorithms for performance. You will also need to ensure solutions are scalable and align with project goals.
Benefits include flexible work hours, the ability to work from any location, reduced commuting time, and an improved work-life balance. Remote work allows for diverse collaboration opportunities and the chance to work with cutting-edge technology in a global market.