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Noida · On-site · 1-3 Yrs · Sep 15
3 views
Accounting & Tax · 51 to 200 Employees · Ottawa, Canada
2 open roles0 posted in 7d2 in 30d
Work-life balance 3.7Compensation & benefits 3.6Culture & values 3.5
Hiring: Engineering
What employees say
+ Good work life balance. Decent pay.
− Toxic management. No clear vision. Constant leadership changes.
More reviews on the company profile.
Job description
Overview
Naicos, a fast-paced startup, builds AI-native products for algorithmic commerce: the future of how e-commerce runs. Our first products are already live with paying customers, and we are shipping new ones continuously.
Responsibilities
- You will drive the research behind our imaging products, finding approaches to hard, unsolved problems in product and apparel imagery that work at production scale. You will run the experiments, prove what is viable, and hand a working approach to the engineering team.
- Who We Are Looking For
- Total experience: 3 years or more, with a strong research orientation
- Deep learning frameworks in Python: PyTorch or TensorFlow
- Image processing in Python: OpenCV, Pillow, scikit-image
- Working knowledge of diffusion and other image generation models
- We are looking for a strong research or research-student profile: someone who investigates, experiments and proves an approach, working closely with the AI Architect. Someone who is driven to build solutions, not just desk research.
- AI Skills and Experience
- Computer vision: classical CV alongside deep learning.
- Segmentation, image-to-image translation, geometry and lighting;
- Generative imaging: diffusion models, conditioning and control, fine-tuning and LoRA,
- Reads academic papers, judges what is reproducible, and turns one into a working prototype in days
- Good to have
- 3D and rendering; published research or open-source contributions; model optimisation for inference cost
- Research and innovative problem solving
- Comfortable where there is no known answer, and defines the approach yourself
- Solves problems inventively rather than reaching for the biggest model; many results come from classical image processing, fitment and geometric transformation
- Other Relevant Skills and Experience
- Designs experiments: baselines, measurable success criteria, honest reporting of negative results
- Explains findings to a non-research audience and guides engineers to production
- Git and reproducible experiment tracking (Weights & Biases, MLflow or similar)
Education
- BE / B.Tech / ME / M.Tech in Computer Science
- BE / B.Tech / ME / M.Tech in any discipline with proven Computer Vision coursework or work
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Job application FAQ
Last updated 3 October 2026
- How do I apply for AI Research Engineer (Computer Vision & Imaging) at MindBridge?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. MindBridge may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Research Engineer (Computer Vision & Imaging) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Research Engineer (Computer Vision & Imaging) remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Research Engineer (Computer Vision & Imaging) role at MindBridge?
- This is a mid-level AI Research Engineer (Computer Vision & Imaging) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.