The AI Research team at Intuit seeks a Machine Learning Engineer who will be instrumental in building and scaling algorithms through efficient coding and optimizations. The role involves contributing to the entire research and development lifecycle, from conceptualization and experimentation to system development and deployment. The engineer will work closely with AI researchers, data scientists, and product teams to implement and deploy highly optimized algorithms in areas such as generative AI and natural language understanding. This position emphasizes collaboration and innovation to enhance current and future customer needs.
Required Qualifications and Skills
A master's degree or equivalent work experience is required for this position. The candidate should have a strong foundation in computer science principles, including algorithms, data structures, and parallel computing. Proficiency in Python and familiarity with machine learning libraries and frameworks is necessary. Strong communication skills and the ability to work collaboratively in a distributed team environment are also important.
Intuit focuses on harnessing the power of AI technologies to improve customer experiences, notably in its TurboTax product. Through the use of GenAI, Intuit aims to significantly transform how people understand and manage their taxes, bringing innovative and problem-solving solutions to complex datasets. The organization values critical thinking, passion for data and AI, and aims to provide opportunities without boundaries for those eager to make a significant impact in the tech field. The role advertises a chance to provide leadership in advanced engineering, data science, and analytics, contributing to the development of current or future products or technologies.
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