Junior Machine Learning Engineer, Red Points

• Degree in engineering, computer science, mathematics, physics, or related field
• Strong Python skills (NumPy, pandas, scikit-learn)
• Experience with deep learning frameworks (PyTorch or TensorFlow)
• Understanding of ML fundamentals: supervised/unsupervised learning, evaluation metrics, overfitting, regularization
• Familiarity with NLP and/or computer vision techniques
• Git workflow and Python environment management (venv/conda)
• Basic SQL
• Ability to explain technical concepts clearly
• Fluent English
• If you think this is the right move for you and you match the description, just apply! We'll get in touch with you for an interview if you are one of the selected candidates

Desirable

• We're building AI systems to fight online counterfeits. Our platform uses multimodal AI—combining computer vision, NLP, and structured data to detect and take down non-legit products across the internet
• We're looking for a junior ML engineer who wants to work on real problems with immediate impact
• Research and implement ML solutions for brand protection challenges (image similarity, text classification, entity extraction, anomaly detection)
• Build production-ready models that integrate into our existing ML pipeline
• Translate research papers and experimental approaches into scalable systems
• Write clear documentation and maintain model performance over time
• Collaborate with data engineers to optimize data pipelines and feature engineering
• You'll work on diverse ML problems—not just one narrow domain.
• One week you might be improving product image matching, the next you're building LLM-based extraction systems or developing multimodal classifiers.
• You'll see your models go into production and directly impact how brands are protected online. Your job will impact millions of links across thousands of customers