The AI Research team at Intuit is focused on building and scaling algorithms to translate research innovations into products.
The Machine Learning Engineer will engage in the entire research and development lifecycle, from conceptualization to deployment of optimized algorithms.
This role involves collaboration with AI researchers and data scientists to implement and deploy advanced capabilities in areas such as generative AI and natural language understanding.
The engineer will also conduct experiments to evaluate and improve machine learning models.
Please make an application promptly if you are a good match for this role due to high levels of interest.
Required Qualifications and Skills
A Master's degree or equivalent work experience is required for the position. Candidates should demonstrate a strong foundation in computer science, including programming algorithms and data structures.
Proficiency in Python and familiarity with machine learning libraries like TensorFlow, PyTorch, and scikit-learn is essential.
Communication and interpersonal skills are also emphasized, along with the ability to work in a dynamic team environment.
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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