Senior Machine Learning Engineer

September 17

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Mozilla.ai

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Artificial Intelligence • Open Source • Machine Learning

2 - 10

💰 $30M Grant on 2023-03

Description

• 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.

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.

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 core benefits per location) • 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