Senior AI Research Scientist

Intuit•Mountain View, CA

About The Position

Intuit is hiring a Senior AI Research Scientist to join the Intuit Foresight team. In its intrapreneurial function, the Foresight team at Intuit develops and incubates emerging technologies, user experiences, capabilities and products that have the potential to be transformative to businesses and consumers. The mission of the AI Research team is to do cutting edge research in AI topics that directly influence Intuit's portfolio of fintech offerings and position Intuit as a global leader in AI with the goal of powering prosperity around the world. In this role you will advance the state of the art in AI methods that support decision making under uncertainty, including interpretable and trustworthy reasoning systems. We are seeking candidates with deep expertise in decision-focused AI, including probabilistic modeling, forecasting, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, fundamentals of deep learning architectures and model training (pre and post) , reinforcement learning, and LLM based reasoning for real-world business decision workflows. You will join a high-caliber team of domain experts, data scientists, and machine learning engineers to shape our strategy in this area, and develop advanced capabilities that serve our customers' needs, both current and future.

Requirements

PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science
Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ICLR, KDD, ACL, AAAI)
5+ 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, with hands-on experience in probabilistic modeling, causal inference, time-series forecasting, reinforcement learning, agentic and multi-agent systems, neuro-symbolic AI, deep learning architectures, or model training.
Excited about the future of Money, Payments, FinTech, and the transformation these technologies will drive
Strong interpersonal and communication skills in order to effectively communicate and/or collaborate with other team members as well as product technologists and other stakeholders

Responsibilities

Conducting basic and applied research on probabilistic, causal, and simulation-based models, and on methods that enable LLMs to reason over structured business data
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, product managers, engineers, researchers, legal experts and more, to translate scientific AI methods into decision-support capabilities that power the customer experiences across various Intuit product offerings.
Mentoring junior AI Scientists and interns through goal setting and technical directions that lead to positive outcomes

Benefits

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ).
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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