Principal Machine Learning Engineer
Intuit
Principal Machine Learning Engineer
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit is seeking a highly motivated and experienced Principal Machine Learning Engineer to join our Mid Market AI team. In this influential role, you will lead the design, development, and deployment of end-to-end AI/ML solutions that power the next generation of intelligent features across Intuit’s financial products. You will shape strategy, drive innovation, and scale impactful solutions that deliver measurable value to our customers.
Responsibilities
- Technical Leadership: Define and own AI strategy and ML platform architecture, setting a multi-year technical roadmap.
- End-to-End ML Systems: Lead the full lifecycle of ML solutions—from data curation and model training to robust deployment and monitoring in production.
- Cutting-Edge AI Applications: Apply state-of-the-art technologies such as Large Language Models (LLMs) and Multimodal Language Models to solve complex business
- Innovation & Prototyping: Accelerate experimentation by building rapid prototypes and scaling successful solutions to production.
- Mentorship: Provide technical guidance to junior engineers, foster a culture of technical excellence, and champion operational rigor.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to deliver solutions that drive customer success.
Qualifications
- Master's or Ph.D. in Computer Science or a related field with a focus on AI/ML or equivalent experience.
- 10+ years of experience developing and deploying production-level ML.
- Expertise in programming languages such as Python, Java, or Scala.
- Proficiency with modern ML frameworks (TensorFlow, PyTorch).
- Strong foundation in computer science fundamentals (data structures, algorithms, distributed systems).
- Proven communication and leadership skills to influence technical direction and engage both technical and non-technical stakeholders.
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 (see more about our compensation and benefits at [1] 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:
Bay Area California: 254,500 - 344,000
References
Visible links
1. https://www.intuit.com/careers/benefits/full-time-employees/