Base Salary
$230k - $250k/yr
Responsibilities
- Design and own shared AI/ML components, frameworks, and pipelines for model training, evaluation, and fine-tuning across product teams.
- Apply ML fundamentals and LLM techniques including prompting, fine-tuning, and RAG to customer problems and evaluate model performance in production.
- Build long-term memory, context-retention, and model and agent evaluation systems at scale.
- Prototype and productionize agent builder frameworks and embedded AI experiences.
- Develop full-stack AI-native applications, including backend services and production LLM integrations.
- Set best practices for ML tooling, developer workflows, application architecture, and software engineering craft.
- Mentor engineers and collaborate with AI scientists, product, design, data scientists, product managers, and engineering teams.
- Track emerging GenAI and ML developments and identify opportunities to improve products.
Requirements
- BS, MS, or PhD in Computer Science, or equivalent practical experience.
- 8+ years of experience building production AI/ML systems; prior experience leading an engineering effort is a plus.
- Strong data structures, algorithms, system design, and ML fundamentals, including classification, regression, clustering, and neural networks.
- Proficiency in Python and standard ML frameworks such as PyTorch, TensorFlow, and Pandas/NumPy.
- Practical experience with LLMs, prompt engineering, fine-tuning, and frameworks such as LangChain.
- Experience building or operating agentic systems, agent frameworks, or long-term memory and context architectures for AI applications.
- Familiarity with offline or online evaluation pipelines for measuring model and agent quality.
- Cloud ML workload experience with AWS, including SageMaker.
- Experience launching AI integrations in production and evaluating their real-world impact.
- Proficiency in JavaScript or Java and experience designing scalable services with Kubernetes and relational or NoSQL data stores.
- Strong cross-functional collaboration skills across global teams.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay range stated as $230,000-$250,000; a separate Mountain View range is also stated as $202,500-$274,000.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.