Junior Machine Learning Engineer

Descripción del puesto:

What's Red Points all about?
Red Points is the most widely used solution to recover digital revenue. Over 1.000 companies rely on our platform to fight counterfeits, piracy, impersonation, and distribution abuse. They leverage Red Points to take back the revenue that's rightfully theirs. With 270+ professionals and offices in New York, Barcelona, Beijing, and Salt Lake City, Red Points has disrupted an industry traditionally led by service providers with a scalable, cost-effective solution.
Be part of the change: join us on our mission to make the Internet a safer place!

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.
The role - what's you day to day going to look like?
* 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
What makes this role interesting
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

Requerimientos del candidato/a:

Required:
* 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
Nice to have:
* Experience with transformers/LLMs (BERT, GPT, etc.)
* Computer vision experience (CNNs, object detection, image embeddings)
* Docker and containerization
* REST APIs (Flask/FastAPI)
* SQL and data warehousing (Redshift)
* Experience with cloud ML platforms (AWS SageMaker, Bedrock, etc.)