Key Responsibilities: 

• Develop and implement machine learning models using state-of-the-art algorithms in areas such as NLP, computer vision, and generative AI. 

• Improve existing machine learning systems, e.g. automated sentiment & emotion analysis, named entity recognition, logo detection, scene recognition, topic modeling, etc. 

• Perform statistical analysis and tune using test results. 

• Extend the MLOps pipelines to improve data and model delivery speed and quality 

• Keep abreast of developments in the field. 

• Collaborate with the rest of the team during team sync meetings 

• Write documentation and review merge requests

Technical skills 

• Proven experience as a Machine Learning Engineer or similar role especially in NLP 

• Strong background in computer science and software engineering: data structures, algorithms, object-oriented programming, code writing, and reviewing. Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning, transformers, …), probability and statistics. 

• Analytical and problem-solving skills 

• Good written and oral communication skills. 

• Ability to work in a team. 

Soft Skills 

• Rigor and strong appetite for software quality 

• Interested in manipulating dozens of microservices in data processing pipelines handling billions of documents 

• Passion to discuss and explain technical choices 

• Can-do attitude 

• Good communicator, self-starter, and collaborative enthusiast 

• Interested in understanding user needs 

• Independent, self-organizing, and able to prioritize multiple complex assignments 

• Interested in multicultural companies 

• Professional in English and fluent in French. This includes writing, speaking, and reading

  Benefits 

  • Real Big Data experience with more than 70 million documents ingested every day, and a total of around 100 billion unique documents in storage 

  • Flat organization and strong culture 

  • Partial remote possible (up to 2 days per week). Gentilly-based office. 

  • International and diverse environment (US, EMEA, APAC) 

  • Staff canteen 

  • Complementary health insurance 

  • 10 RTT per year 

  • Synthesio allows employees to take time during their working hours for leisure (we had groups around Sport sessions together; Board games with the team; Free time …). As long as work is done, you can organize your time as you want. 

  • Many team events are organized at the initiative of the team (Just to say people get along and there is a good ambiance) 

    Our Values 

  • Win As One Team: We are nothing without each other. We support each other, celebrate team spirit, and always move together. Be open minded, humble and a team player 

  • Ownership: Each team defines its own schedule of deliveries and methodology (from scrum to Kanban) and owns their projects from design to production. 

  • Test And Learn: We are not afraid to fail but we are afraid of not trying. We learn from our mistakes and always come back stronger 

  • Listen Up: The more we listen, the more we learn. Every person has something to teach up

Our Recruitment Process 

1. A 30-minute screening phone call with the Team Lead CTO 

2. A 60–90-minute interview with some engineers of the team. You will conduct a situational exercise (video call possible)

3. Optional meet & greet (30 minute each) with various members of the team (Product Managers, Site Reliability Engineers, and Front-end engineers…) (video call possible) 

4. Proposal