Staff Machine Learning Engineer

Qualifications

• BS, MS, or PhD in Computer Science or equivalent practical experience
• 8+ years building production AI/ML systems; prior experience leading an engineering effort a plus
• Strong CS fundamentals - data structures, algorithms, system design - plus solid ML fundamentals (classification, regression, clustering, neural networks)
• Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, Pandas/NumPy)
• Practical experience with LLMs: prompt engineering, fine-tuning, and frameworks like LangChain
• Experience building or operating agentic systems, agent frameworks, or long-term memory/context architectures for AI applications
• Familiarity designing evaluation frameworks or offline/online eval pipelines for measuring model and agent quality
• Cloud platform experience for ML workloads (AWS, including SageMaker)
• Track record of launching AI integrations in production and evaluating their real-world impact
• Strong cross-functional collaboration skills, partnering effectively with data scientists, product managers, and engineers across global teams
• Proficiency in one or more full-stack languages (JavaScript, Java) and experience designing scalable services - microservices, relational/NoSQL data stores, Kubernetes
• 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 $230,000- $250,000.