Intuit is seeking an AI Scientist to design and implement next-generation AI and machine learning systems for their omnichannel marketing platform, aiming to address key customer challenges through modern ML and AI models directly integrated into their core product.
Requirements
- 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with distributed computing frameworks (e.g., 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 (e.g., version control, CI/CD for ML models) is a plus.
- Familiar with the latest trends and applications of generative AI including agentic applications.
- Efficient in SQL
- Comfortable in a Linux environment
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, with an emphasis on understanding and implementing solutions that support broader AI initiatives.
- Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.
- Discover, process, and train on huge data sets.
- In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your 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.
Other
- MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.
- Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
- We are looking for someone 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.
