

ElementalsAI
https://elementals.aiAbout
🚀 Join ElementalsAI – Builders of the Future of Work!
At ElementalsAI, we're reshaping industries with AI-first products that simplify complex workflows. Our flagship product, QuickPlansAI, is transforming how professionals create project estimates—10x faster, smarter, and more accurate. Think ChatGPT meets construction planning.
We're a fast-growing, deep-tech startup backed by real customer traction. If you’re excited to build high-impact products from 0→1, work with cutting-edge AI, and leave your mark on the future—this is your launchpad.
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ElementalsAI is a deep-tech startup building AI-first products to simplify complex workflows. Their flagship product, QuickPlansAI, helps professionals—especially in construction and planning—generate project estimates with far greater speed and accuracy. Think of it as combining ChatGPT-style AI with domain-specific intelligence for construction workflows. The mission is to reshape industries through high-impact AI tools, starting from 0→1.
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Jobs at ElementalsAI

Job Title: Computer Vision Research Engineer (2–4 Years Experience)
Location: Bengaluru - Hybrid/Remote
Experience: 2–4 Years
Employment Type: Full-time
Job Description
We are looking for a Computer Vision Research Engineer with 2 to 4 years of experience to join our AI team. The ideal candidate will have a strong background in self-supervised learning (SSL) techniques, vision pre-training strategies, and hands-on experience with end-to-end delivery of computer vision projects.
Key Responsibilities
- Design and implement state-of-the-art self-supervised learning algorithms for vision tasks.
- Develop and optimize pre-training pipelines for downstream CV applications.
- Work on tasks such as object detection, segmentation, OCR, pose estimation, and visual reasoning.
- Collaborate with cross-functional teams to deploy and validate models in real-world scenarios.
- Conduct experiments, benchmark performance, and contribute to research publications or internal whitepapers.
Required Skills
- Strong experience in SSL algorithms (e.g., MoCo, SimCLR, BYOL, DINO, MAE).
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with image/video datasets and augmentations used in pre-training.
- Solid understanding of core CV tasks and metrics (e.g., mAP, IoU, Dice).
- Demonstrated success in delivering CV solutions to production or research prototypes.
Preferred Qualifications
- Contributions to open-source CV/SSL projects or research papers.
- Familiarity with vision transformer architectures (ViTs, Swin, etc.).
- Experience working with large-scale vision datasets and distributed training.
Apply with your resume, GitHub, or project portfolio.

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