Intuit is seeking a Principal Machine Learning Engineer to 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, shaping strategy, driving innovation, and scaling impactful solutions.
Requirements
- 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).
Responsibilities
- Define and own AI strategy and ML platform architecture, setting a multi-year technical roadmap.
- Lead the full lifecycle of ML solutions—from data curation and model training to robust deployment and monitoring in production.
- Apply state-of-the-art technologies such as Large Language Models (LLMs) and Multimodal Language Models to solve complex business
- Accelerate experimentation by building rapid prototypes and scaling successful solutions to production.
- Provide technical guidance to junior engineers, foster a culture of technical excellence, and champion operational rigor.
- Partner with product managers, data scientists, and engineering teams to deliver solutions that drive customer success.
Other
- Master's or Ph.D. in Computer Science or a related field with a focus on AI/ML or equivalent experience.
- Proven communication and leadership skills to influence technical direction and engage both technical and non-technical stakeholders.
