Machine Learning Engineer

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Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).
Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis.
Collaborate with cross-functional teams to improve product and system performance.
Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.
Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation.
Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.

Proven experience as a Machine Learning Engineer with at least 3 years of professional experience.
Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras.
Experience with image processing, feature extraction, and text preprocessing techniques.
Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis.
Hands-on experience with large datasets and data pipelines for training and deploying ML models.
Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.
Full professional English proficiency

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