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Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Responsibilities Assist in developing and optimizing AI / machine learning models for real-world applications Train, evaluate, and improve model performance using structured datasets Support experimentation and implementation of deep learning techniques (e.g. CV, NLP) Collaborate with engineering teams to integrate AI models into products Stay updated with latest AI/ML developments and contribute ideas to projects Job Requirements Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus) Strong foundation in machine learning, data structures, and algorithms Familiarity with deep learning frameworks (e.g. TensorFlow or PyTorch) Basic understanding of computer vision or NLP concepts Strong problem-solving skills and ability to learn independently Good teamwork and communication skills Nice to Have Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs) Experience with AI/ML projects, internships, or competitions Familiarity with model training, tuning, and evaluation techniques Knowledge of deploying ML models (APIs, cloud, etc.) Why Join Us Kickstart Your Engineering Career Gain hands-on experience, with guidance from experienced engineers. Structured Learning & Mentorship Learn best practices Regional Exposure. Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment. Growth & Career Development Clear progression path with opportunities to grow. Supportive Team Culture Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.
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.