Remote Senior Machine Learning Engineer

Summary

Join Mozilla.ai's dynamic team as a Senior Machine Learning Engineer and contribute to the development of open-source AI solutions. As a key member of our product engineering team, you will work on model validation, selection, and deployment, utilizing your expertise in machine learning and software engineering.

Requirements

• +5 years of professional experience in machine learning and strong background software engineering
• Comfortable with open source development work
• Experience with deep learning frameworks, (e.g., PyTorch) is a plus
• Experience with large-scale dataset processing and data augmentation techniques
• Experience with managing experiments and models (e.g., platforms like Weights and Biases, MLFlow, KubeFlow).  
• Strong proficiency in Python and familiarity with relevant libraries and tools
• Comfortable working in the cloud - containerization, cloud resource management, etc. 
• Excellent problem-solving skills and the ability to work both independently and as part of a team
• Effective communication skills, including the ability to translate technical concepts to non-technical stakeholders
• A demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment

Responsibilities

• Develop tools to streamline development, management, and/or evaluation of models
• Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure
• Prepare and preprocess datasets for model evaluation
• Run and manage experiments related to model evaluation and training
• Evaluate model performance using standard metrics and techniques
• Collaborate with other teams, including product management and platform engineering, to ship features. 
• Collaborate on the implementation of MLOps best practices to ensure smooth model deployment, monitoring, and maintenance
• Engage with internal and external stakeholders, translating complex technical details into clear insights
• Contribute to the product engineering lifecycle, from ideation to deployment and maintenance of new features

Benefits

• Premium package featuring core benefits tailored to your country of residence encompassing essential services such as health insurance and retirement plans (check our comprehensive list of
• 25 days per year of Paid Time-off
• Generous performance-based bonus plans to all regular employees 
• One-time home office stipend of 1,000 USD
• Annual professional development budget
• Annual well-being stipend of 3,500 USD