Machine Learning Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in France.

This role offers the opportunity to contribute to advanced AI systems that power large-scale brand protection and digital intelligence solutions used by thousands of global clients. You will work at the intersection of computer vision, natural language processing, and large-scale data engineering to build models that detect, analyze, and interpret complex visual and textual content. Embedded in a highly collaborative, international environment, you will partner with data scientists, engineers, and domain experts to transform research into production-ready systems. Your work will directly improve image search, content monitoring, and anti-infringement technologies that protect some of the world’s most recognized brands. This is a hands-on, impact-driven position where innovation, experimentation, and scalability are at the core of daily work.

Accountabilities

• Develop and optimize machine learning models focused on computer vision and NLP tasks, including image classification, object detection, sentiment analysis, and entity recognition.
• Train and fine-tune deep learning architectures such as CNNs, RNNs, and Transformers for applications like reverse image search and image-text matching.
• Design and build scalable data pipelines for large-scale image and text data ingestion, preprocessing, and model training.
• Collaborate with cross-functional teams to improve product performance, model accuracy, and system reliability in production environments.
• Research and implement state-of-the-art ML techniques to continuously enhance algorithmic performance and robustness.
• Monitor deployed models, identify performance issues, and propose optimizations to improve efficiency and accuracy over time.
  
  

Requirements

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• At least 3 years of professional experience as a Machine Learning Engineer or in a similar applied ML role.
• Strong proficiency with ML frameworks such as TensorFlow, PyTorch, Keras, or CatBoost.
• Solid experience with computer vision and NLP techniques, including feature extraction, image processing, and text preprocessing.
• Proven ability to work with large datasets and build end-to-end machine learning pipelines.
• Strong understanding of core ML algorithms for classification, detection, and text-based analysis tasks.
• Excellent analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Full professional proficiency in English and ability to work in international teams.
  
  

Benefits

• Fully remote work flexibility across eligible European locations.
• Competitive compensation aligned with experience and market standards.
• Opportunity to work on large-scale AI systems used by global enterprise clients.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• International, collaborative, and inclusive work environment.
• Exposure to cutting-edge AI research applied in real-world production systems.
• Strong culture of learning, innovation, and continuous improvement.
• Career development opportunities within a fast-evolving AI-driven organization.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.