Intuit Staff Product Manager - TurboTax & Credit Karma Cross Platform Growth 

Israel 

360136938

We encourage you to apply if you…

• Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
• Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
• Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
• Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring

• Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
• Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
• Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
• Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
• Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
• Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
• Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.

• MSc or PhD in a computational or statistical field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research), or equivalent experience
• 3+ years’ Data Science experience.
• Experience working on one of the cloud platforms: AWS, GCP, Azure
• Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
• Familiarity with LLM based applications — an advantage
• Familiarity with LLM security and safety aspects - an advantage
• Resourceful, motivated, and organized