Machine Learning Engineer

• Work closely with Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and others
• Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems
• Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications
• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives
• Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques
• Contribute to architectural decisions, code reviews, and the evolution of our development processes
• Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.

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