Staff AI Research Scientist

Intuit; Mountain View (CA); On-site; USD 210,000 - 284,000; Full time

Benefits offered by this job

Cash bonus eligibility

Equity rewards

Competitive total compensation

Job summary

Intuit is seeking a Staff AI Research Scientist to join the Foresight team. You will advance AI methods for decision making, including probabilistic modeling, causal inference, and LLM-based reasoning for business decision workflows.

Collaborate with designers, product managers, engineers, and researchers to translate research into decision-support capabilities across Intuit products. You will mentor junior researchers and contribute to publications and collaborations with the AI community.

Qualifications

• PhD in Computer Science, Electrical Engineering, Statistics or Applied Math with AI/ML focus.
• 8+ years experience in theoretical or applied AI/ML research and leading projects.
• Strong publication record in top AI conferences (NeurIPS, ICML, ICLR, KDD, ACL, AAAI).
• Proficiency developing and debugging Python with TensorFlow or PyTorch.

Responsibilities

• Conduct basic and applied research on probabilistic, causal, and simulation-based models; enable LLMs to reason over structured business data.
• Engage with academic and broader research communities through publications and collaborations.
• Align long-term research goals with Intuit products and milestones.
• Translate AI methods into decision-support capabilities across Intuit products with cross-functional teams.
• Mentor junior researchers, AI scientists, and interns to achieve positive outcomes.

Skills

5+ years of relevant work experience

8+ years in AI/ML research

Leadership & mentoring

Strong communication skills

Education

PhD in Computer Science / Electrical Engineering / Statistics / Applied Mathematics

Tools

Python

TensorFlow

PyTorch

Job description

Overview

Intuit is hiring a Staff 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) , and 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.

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 researchers, AI scientists, and interns through goal setting and technical directions that lead to positive outcomes

Qualifications

• PhD in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field with focus on AI/ML/Data Science
• 5+ years of relevant work experience post PhD
• Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ICLR, KDD, ACL, AAAI)
• 8+ 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
• Excellent leadership and communication skills to influence teams and to evangelize research solutions across the company
• Past experience leading a research team and mentoring junior colleagues is a plus

Benefits

• Intuit provides a competitive compensation package with a strong pay for performance rewards approach.
• This position may 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.

The Expected Base Pay Range For This Position Is

Mountain View $209,500 - $283,500