Intuit
Overview
We are seeking an AI Scientist to work with a collaborative and creative group of scientists and engineers to design and implement next‑generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly into our core product to address key customer challenges. You are passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.
Responsibilities
Explore, develop, and deploy machine learning models, contributing to the end‑to‑end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, emphasizing solutions that support broader AI initiatives.
Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products, integrating insights from advanced AI systems.
Discover, process, and train on huge datasets.
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of models, and communicate results to peers and leaders.
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.
Qualifications
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
1+ years of experience in modern AI/ML tools and proficiency in Python and typical AI/ML libraries (TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (Spark, Ray) is a plus.
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (version control, CI/CD for ML models) is a plus.
Familiarity with the latest trends and applications of generative AI including agentic applications.
Efficient in SQL.
Comfortable in a Linux environment.
Solid communication skills: demonstrated ability to explain complex technical issues to both technical and non‑technical audiences.
Compensation & Benefits Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position will be eligible for a cash bonus, equity rewards, and benefits in accordance with our applicable plans and programs. Pay is based on factors such as job‑related knowledge, skills, experience, and work location. Intuit conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.
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Responsibilities
Explore, develop, and deploy machine learning models, contributing to the end‑to‑end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, emphasizing solutions that support broader AI initiatives.
Collaborate with product managers, software engineers, and designers to design experiments and minimum viable products, integrating insights from advanced AI systems.
Discover, process, and train on huge datasets.
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of models, and communicate results to peers and leaders.
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.
Qualifications
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
1+ years of experience in modern AI/ML tools and proficiency in Python and typical AI/ML libraries (TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (Spark, Ray) is a plus.
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (version control, CI/CD for ML models) is a plus.
Familiarity with the latest trends and applications of generative AI including agentic applications.
Efficient in SQL.
Comfortable in a Linux environment.
Solid communication skills: demonstrated ability to explain complex technical issues to both technical and non‑technical audiences.
Compensation & Benefits Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position will be eligible for a cash bonus, equity rewards, and benefits in accordance with our applicable plans and programs. Pay is based on factors such as job‑related knowledge, skills, experience, and work location. Intuit conducts regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.
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