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Responsibilities Lead the R&D of core algorithms in the field of computer vision, covering technical implementation for business scenarios such as image processing and video analysis. Drive the training, optimization, and iteration of vision models to enhance accuracy, robustness, and inference efficiency in complex scenarios. Explore cutting-edge directions in multi-modal vision technology, conducting research and application deployment in cross-modal semantic alignment and multi-source information fusion. Follow the latest research findings from top-tier conferences and journals, translating technological breakthroughs into business applications to strengthen the company's technical competitiveness. Participate in algorithm competitions, technical patent applications, and academic paper publications to consolidate technical achievements and build industry influence. Requirements Master's degree or above in Computer Science, Electronic Engineering, Automation, Applied Mathematics, or related fields; Ph.D. holders are preferred. At least 2 years of work experience in computer vision, with professional proficiency in core algorithms and common toolchains for image processing and video analysis. Proven end-to-end experience in vision model training and deployment; highly proficient in mainstream deep learning frameworks (such as PyTorch/TensorFlow), with the ability to independently manage the full lifecycle from model selection and training tuning to deployment. Strong logical analysis and teamwork skills, capable of independently leading technical projects and driving business requirements to completion. Preferred Qualifications Experience in the research and application of multi-modal vision models. A publication record of papers in top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS. Award-winning experience in prestigious computer vision competitions.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.