E.g., An engineer might implement a new algorithm from a recent research paper to enhance a model’s performance in a specific application. Our working hours are flexible so you get to choose when you come to work. Weekends, vacations and any off-time in general are off limits. Since our work is based on Scrum, the project timeline is usually well-planned and transparent. This makes it much easier to organize our time well, set reasonable deadlines and avoid stress. To find computer vision jobs near you, you can filter by country, state, or use the search bar to find a specific city.

RnD Software Engineer

This involves applying advanced techniques in image processing and deep learning to tasks such as image recognition, object detection, segmentation, and pattern recognition. It’s the combination of good programming skills and the ability to solve problems by thinking creatively. That is why we don’t expect all of our job candidates to have a lifetime of experience or a dozen projects to show off. In other words, if you know the basics and you’re eager to keep learning, we’ll take care of the rest. Although the two divisions work on completely different projects, the main job of all our R&D Computer Vision RND Engineer job Engineers boils down to the same thing — creatively solving real-life problems. Creating and fine-tuning algorithms that enable machines to interpret visual data and make decisions based on their “sight” is a core aspect of a Computer Vision Engineer’s work.

No longer accepting applications

This way, you’ll not only get better at your job but also find new, interesting ways to solve your everyday challenges. Embark on a journey through the forefront of Artificial Intelligence (AI), Machine Learning (ML), and Data Science career opportunities. Our curated listings are specifically tailored for experts in Computer Vision Engineer, with the most current openings updated for January 2025. Expand your horizons and pinpoint your ideal position using our advanced job search platform, equipped with detailed filters to align with your professional skills and aspirations. You can enroll in a FREE OpenCV Bootcamp for Beginners to get hands-on experience.

• The company pays a lot of attention to team spirit and each new colleague is carefully matched with a team they are most likely to thrive in.
• Dive into a world of limitless possibilities with RemoteAi.io, your premier platform for innovative careers and job opportunities in artificial intelligence.
• The top locations hiring for computer vision engineer jobs are California USA, England, Washington USA, New Jersey USA, and Paris, France.
• Whether you're a professional seeking exciting challenges or a company in search of exceptional talent, discover a universe where passion meets expertise.

Algorithm Engineer (Computer Vision), e-Commerce department of An Internet Giant

We are seeking a hands-on, top-notch RnD Computer Vision Software Engineer with a Machine Vision specialization. In this role, you'll be responsible for designing and developing software solutions for machine vision systems. The company has aggressively grown because of our industry-recognized patented technology and superior software delivery services. As you learn, work on your own projects and share them on GitHub to build a portfolio that showcases your skills. To begin your journey in computer vision, start by exploring foundational courses and tutorials. A great entry point is learning OpenCV, a widely-used library for computer vision tasks.

Each day starts with a brief standup that usually takes around 5 minutes. Although each team member has their own tasks, their work and goals often overlap. This way, everyone gets a chance to share a short update on their progress and keep the team in the loop. Exchanging knowledge and collaborating with each other is very important because it allows the whole team to successfully finish the project. If you’re a fan of new cars, you’ll love the opportunity Computer programming to enjoy a ride in the latest models before they hit the market.

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Usually, most teams go to lunch together, which is a great opportunity to bond with colleagues. The company pays a lot of attention to team spirit and each new colleague is carefully matched with a team they are most likely to thrive in. Team lunches often lead to some great work-related ideas, too. One of the most exciting things about this job is the fact that your work actually makes a difference in real life. Our technology is already used in top-class cars, making autonomous driving a bit safer with each new release.

Software Engineer - Backend

• This means optimizing code to reduce latency and ensure smooth operation.
• There is a restaurant just a few floors below our office, but there are plenty of other good choices around the building, too.
• Besides obtaining knowledge, R&D Engineers must also know how to use it in new, creative ways in order to solve real problems.
• Usually, most teams go to lunch together, which is a great opportunity to bond with colleagues.
• Our answer is usually simple – you need a strong programming background and the capacity to understand complex algorithms.
• E.g., An engineer might implement a new algorithm from a recent research paper to enhance a model’s performance in a specific application.

This involves a deep understanding of machine learning techniques and problem-solving skills to create models that can accurately process and understand complex visual information. Another crucial responsibility is training machine learning models to classify and recognize visual data. This often involves working with large datasets to develop models that can differentiate between various objects or patterns.

The top locations hiring for computer vision engineer jobs are California USA, England, Washington USA, New Jersey USA, and Paris, France. As of October 23, 2024, the average salary of job postings for computer vision engineering is $122,000 USD and the average salary of job postings on this website is $158,000 USD. For instance, a Computer Vision Engineer might create a manual for an industrial robot’s vision system, detailing how it operates and how to troubleshoot common issues.