Do you want to be at the forefront of leading-edge technology in a rapidly-growing market?

Do you like helping customers connect technology with the needs of their business ? Let’s talk.

Are you interested in this position ?

We look forward to receiving your application.

Sinequa’s ML:

At Sinequa, we continue to improve our algorithms in order to increase performance. By leveraging BERT (Language Model), we use Deep Learning techniques to better understand the content. Applying machine learning and specifically deep learning to enhance the platform’s capabilities continues to be a focus. We brought several deep learning capabilities to the platform, including content classification and enrichment and dynamic improvement of relevancy over time. Successfully packaging AI into a product requires strong foundations, and in 2020 Sinequa laid the groundwork that is expected to bring several exciting enhancements driven by deep learning in 2021.

Your role and responsibilities:

Sinequa is growing and we are looking for a talented Machine Learning Engineer located in Paris, whose main mission will be to contribute to the evolution and maintenance of the ML features powering the Sinequa Enterprise Search platform. You will work on putting cutting edge algorithms/technologies into production to enhance the search experience. Features range from Transformer-based textual classification to Query Intent and of course, deep learning ranking algorithms. You will collaborate with platform engineering to integrate state-of-the-art algorithms and model research into the Sinequa product and take full ownership of ML models, including collecting training data, deploying in production, and overseeing the quality.


  • At least 3 years of experience in the Machine Learning field.
  • High proficiency in an OOP setting like C#, Java, C++, etc.
  • Proficiency in Python.
  • Good all-around algorithmic skills.
  • Good knowledge in a deep learning framework like TensorFlow or PyTorch.
  • NLP/ML knowledge – state of the art models (BERT, BART, T5, etc), their complexities, their strengths and weaknesses, etc.
  • Experience with language model productization.
  • Ability to work autonomously and manage workload priorities.
  • Advanced degree in computer science, math, statistics or a related discipline.

Sinequa embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds. The more inclusive we are, the better our company will be.

About Sinequa.

Sinequa powers the Information-Driven economy. Companies are realizing that being data-driven isn’t enough, but to succeed in today’s highly-competitive and fast-moving market they must capitalize on the value buried away in the huge volume of their unstructured information (text) in addition to structured data. Sinequa enables information-driven operations by providing a Cognitive Search and Analytics platform that brings together all enterprise information assets and intelligently serves up the most pertinent information and insights regardless of content, source system, or format. We do this through a state-of-the-art engine that applies natural language processing and machine learning to make sense of the vast and rapidly growing content in today’s organizations.

Sinequa’s software platform brings whole-enterprise search and powerful analytics to Global 2000 companies and government agencies. Leveraging Recognized as a leader in the Gartner Magic Quadrant for Insight Engines and the Forrester Wave for Cognitive Search and Discovery, the world’s largest and most information-intensive organizations – including AstraZeneca, Airbus, Bristol-Myers Squibb and Siemens – rely on Sinequa to put business-critical information at the fingertips of their employees.

Discover our culture.

"We strive for a culture that establishes the priorities for the organization and creates an atmosphere where employees can freely pursue the three marks of personal achievement: Excellence, Autonomy, and Purpose."

Do you think you're the right person ?

Do you think you're the right person ?

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