Principal Research Scientist

$232,000 - $313,500/Yr

Intuit - Mountain View, CA

posted 4 months ago

Full-time - Senior
Mountain View, CA
10,001+ employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Intuit is seeking a Principal AI Researcher to join the AI/Tech Futures team, which is dedicated to developing and incubating transformative technologies and user experiences that can significantly impact businesses and consumers. The mission of the AI Research team is to conduct cutting-edge research in artificial intelligence that directly influences Intuit's portfolio of fintech offerings, positioning the company as a global leader in AI. The goal is to power prosperity around the world through innovative AI solutions. In this role, the Principal AI Researcher will advance the state of the art in AI fundamentals, focusing on areas such as generative AI, deep learning, optimization, neuro-symbolic AI, personalization, recommendation systems, large language models, and robustness and uncertainty quantification. The successful candidate will collaborate with a high-caliber team of domain experts, data scientists, and machine learning engineers to shape the strategy in these areas and develop advanced capabilities that meet the current and future needs of Intuit's customers. The ideal candidate will have a PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field, along with extensive experience in AI/ML/Data Science. They will be expected to lead research projects, mentor junior researchers, and engage with the academic community through publications and presentations. This position offers a unique opportunity to influence the future of fintech through innovative AI applications and to work in a collaborative environment that values technical leadership and creativity.

Responsibilities

  • Technical leadership in areas of Neuro Symbolic AI, Multimodal and Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning.
  • Pushing boundaries of AI native fintech applications through innovation and partnership.
  • Engaging with the academic and broader research community through publications, presentations, and collaborations.
  • Working towards long-term ambitious research goals that are in alignment with Intuit products, while identifying intermediate milestones.
  • Working with a cross-functional team of designers, program managers, researchers, legal experts and more, to create new capabilities for current and future products.
  • Mentoring junior researchers and interns through goal setting and technical directions that lead to positive outcomes.

Requirements

  • PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science or equivalent work experience.
  • 7+ years of relevant work experience post PhD.
  • Past experience leading a research or applied research team.
  • Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences (e.g. NeurIPS, ICML, KDD, ACL, AAAI).
  • 10+ years experience in conducting theoretical or applied research with demonstrated capability of defining and driving research projects.
  • Past experience in disseminating new technical ideas to the larger scientific community through open sourcing, publications, and presentations.
  • Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks.
  • Deep technical expertise in machine learning in general, along with hands-on experience in either deep NLP architectures, neuro-symbolic AI, or robust and/or explainable AI.
  • Strong interpersonal and communication skills to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders.
  • Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company.

Benefits

  • Competitive compensation package with strong pay for performance rewards approach.
  • Cash bonus eligibility.
  • Equity rewards eligibility.
  • Comprehensive benefits package.
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