Machine Learning Engineer

About Corsearch

We are part of a fast-growing French AI startup recently acquired by Corsearch — specializing in cutting-edge image intelligence technology for brand protection and online content monitoring. Our proprietary AI-powered reverse image search engine is used by some of the world’s most iconic luxury brands, leading FMCG companies, and global marketplaces to combat fraud, counterfeiting, and misuse of intellectual property at scale.

We are currently scaling the platform 30x — increasing the volume of data, the number of ML models, and the complexity of use cases — as we integrate and evolve the product within Corsearch’s global ecosystem.

Position

We’re looking for a passionate and experienced Machine Learning Engineer to help us push the limits of what AI can do in trademark search and brand protection. You’ll work on complex NLP and vision-language challenges using state-of-the-art architectures, from transformers to multimodal models.

You’ll be part of a small, focused ML team where your work will directly impact real-world applications, from training custom neural models to building scalable APIs that power global-scale trademark and content protection solutions.

Responsibilities

• Design and implement transformer-based pipelines for data processing and model training
• Apply, fine-tune, and innovate on pretrained LLMs and VLMs for trademark and content analysis
• Build and maintain production-grade machine learning APIs
• Collaborate with ML and product teams on multi-modal tasks and use cases
• Optimize model performance in real-world production environments
• Contribute to experimentation frameworks and scalable data pipelines

Your qualification

• Solid experience in developing end-to-end NLP and/or Computer Vision pipelines
• Strong proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face
• Familiarity with tools like Pytest, Docker, mypy, and cloud services (AWS preferred)
• Deep understanding of modern architectures: Transformers, RNNs, CLIP, BLIP, etc.
• Strong problem-solving skills and ability to work with large, noisy, or multi-source datasets

Will be a plus

• Experience with advanced vision-language models such as LLaVA, Qwen-VL, Phi-3 Vision, OpenCLIP
• Familiarity with AWS tools like SageMaker, EC2 spot instances, CloudWatch, IAM, and S3
• Interest in building experimentation infrastructure for scalable ML

What we offer

• Contribute to a next-gen AI platform in a startup environment backed by a global leader
• Work on impactful problems at the intersection of computer vision, NLP, and brand protection
• Join a diverse, international engineering team where English is the working language
• Shape the future of online content monitoring with cutting-edge ML models
• Be part of a product that helps protect the world’s most valuable brands