Senior AI/ML Software Engineer

Job Overview

The Tech for Intuit organization at Intuit is looking for a Senior Software Engineer who wants to help transform the technology that powers our hybrid workforce. Join the Digital Workplace Management team as Senior Software Engineer to help accelerate generative AI user experiences across Intuit. As part of the team, you will work with product managers, user experience designers and other engineers to rapidly deliver GenAI experiences. Generative AI is moving rapidly, and you will have the opportunity to change the way teams get work done. If you want to learn fast, be bold and innovate, join as we move the Intuit workforce into the future.

Responsibilities

• Responsible for design of common components/frameworks/models that support in building AI native apps, Fullstack LLM apps.
• Own end to end development of frameworks/models/ ML pipelines that fit use cases by working with the consuming teams and dependencies.
• Self-organized, explore new shifts in GenAI/AI and own possible application/improvements in the existing use cases.
• Rapid prototyping, experimentation and iterations to build high accuracy/performant frameworks/models.
• Develop web services leveraging Large Language Models and VectorDBs
• Roughly 80% hands-on Deliver and review awesome code with attention to quality, scalability, maintainability, and performance
• Design and plan technical solutions so the team can work efficiently to deliver the product vision incrementally
• Work with team to prioritize and execute user stories
• Proactively look for ways to improve code, processes, and team
• Mentor colleagues with a technical and growth perspective

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $161,500 - $219,000. 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 Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Qualifications

• BS/MS in computer science/engineering or equivalent work experience
• Strong Computer science fundamentals: data structures, algorithms, distributed systems, large-scale, and resilient architectures
• Advanced knowledge on ML expertise on basic algorithms (Linear Regression, Bayesian Methods, Deep Learning, Reinforcement Learning)
• Advanced experience with Model training, tuning, evaluation, optimization
• Experience with model deployment with Cloud platform
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, Pytorch, Keras)
• Strong problem-solving and communication skills; ability to explain complex technical concepts to designers, partners, and other engineers
• 5+ years of experience developing highly scalable web applications
• Expert knowledge of backend software development
• Expert using Python
• Experience using Java
• Working knowledge of building GenAI applications with large language models
• Working knowledge of AWS and Kubernetes
• Passion for continued learning and growth
• Passion for innovation beyond what is currently accepted