Staff Machine Learning Engineer

3 weeks ago


Canada Mozilla Corporation Full time
About the Role

We are seeking a highly skilled Staff Machine Learning Engineer to join our team at Mozilla Corporation. As a key member of our engineering team, you will be responsible for developing and deploying machine learning models that drive our business forward.

Key Responsibilities
  • Develop and fine-tune machine learning models for tasks such as entity recognition, classification, and text generation.
  • Utilize pre-trained language models and refine deployed models for performance and efficiency.
  • Work closely with interdisciplinary teams to deliver high-quality features and solutions.
  • Collaborate with data scientists to design and implement experiments to improve model performance.
  • Develop and maintain large-scale machine learning pipelines using cloud-based technologies.
Requirements
  • Bachelor's degree in Statistics, Computer Science, or related technical field.
  • Minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or data scientist.
  • Knowledge of and expertise in Natural Language Processing (NLP).
  • Proficiency in a data query language (e.g. SQL) and a programming language (e.g. Python).
  • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring.
What We Offer
  • Generous performance-based bonus plans to all regular employees.
  • Rich medical, dental, and vision coverage.
  • Generous retirement contributions with 100% immediate vesting.
  • Country-specific holidays plus a day off for your birthday.
  • One-time home office stipend.
About Mozilla

Mozilla is a global community of technologists, designers, and advocates who believe that the internet should be a global resource, open and accessible to all. We are committed to diversity, equity, inclusion, and belonging, and we encourage applications from everyone, including members of all equity-seeking communities.



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