Machine Learning Engineer - Corsearch
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Technology
Multiple locations
Fully Remote
Machine Learning Engineer
Join Corsearch as a Machine Learning Engineer: design and optimize ML models for image search and NLP, collaborate with global experts, and help protect brands and consumers.
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At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.
As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.
Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.
Why Choose Corsearch?
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.
✅The Role
As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.
You will design and optimize AI models that power our state-of-the-art image search engine and other innovative solutions.
Collaborating with Corsearch’s global team of data scientists, engineers, and brand protection experts, you’ll help drive innovation in brand protection and online content monitoring , ensuring our clients stay ahead in a rapidly evolving digital landscape.
✅Responsibilities and Duties
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.
✅Essential
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 .
