Senior Machine Learning Engineer
Montreal, Quebec
3d ago is one of the largest job search platforms in the world and a fast-growing company in the HR tech space. After securing 120 million USD in Series B funding in March 2022, we are hiring a host of talented people around the world to help us in our aim of connecting the world to work. This is a unique opportunity to work in a challenging, fast-paced environment with many possibilities for career advancement. boasts a diverse and multicultural team, with offices around the world, and we are looking for new voices to help us continue to grow. is actively looking for a Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you will be working on machine learning and data analysis tasks including natural language processing/understanding (NLP, NLU) and structured information extraction from unstructured text.

What you’ll do:

  • Extend prototypes into fully functional, polish solutions ready for internal and external use.
  • Maintain machine learning solutions and use metrics and monitoring to perform model evaluations.
  • Develop machine learning solutions to integrate into our products.
  • Monitor and deploy within the production data science environment using best practices, pipeline controls, and clear documentation around intent and usage of model or algorithm.
  • Use robust statistical techniques to increase accuracy for existing projects and create solutions that will increase performance.
  • Be responsible for the development and deployment of API at scale.

What you bring :

  • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related field.
  • 5+ years of experience in analytics, data science, computer engineering and database management.
  • Experience with code versioning systems (Git).
  • Experience with general purpose programming languages (PHP and Python).
  • Experience working in Jupyter Lab or similar environment.
  • Knowledge of libraries like Pandas, Scikit-Learn, PyTorch, Hugging Face Transformers.
  • Experience with Amazon Sagemaker is a plus.
  • Understanding and experience in writing and running parallel code.
  • Passion for learning new things, solving complex problems and bringing in new ideas.
  • Experience in Machine Learning methodologies and building production grade solutions.
  • High level of attention to detail, excellent time management skills and ability to perform under pressure.

What we offer:

  • Hybrid work model
  • Start-up atmosphere
  • Competitive salary package
  • Generous vacation policy
  • Transparent organizational structure and collaborative environment
  • An inspiring and friendly atmosphere with a team of passionate and youthful people.

At, you come as you are. We have a casual dress code and boast a diverse and inclusive work environment. When you join, you join a family of passionate and motivated individuals united by their desire to grow, innovate, and create ambitiously. You’ll discover a world where employees enjoy flexibility and autonomy, opportunities for constant career advancement, and a supportive learning environment.

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