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
We are seeking a highly skilled Senior AI/ML Software Engineer to join our Core AI team. In this role, you will be instrumental in building cutting-edge AI platforms that enable Intuit to democratize AI and implement AI at scale across every facet of our product experiences. This is an exciting opportunity to work at the forefront of AI technology and make a significant impact on products used by millions of customers worldwide.
Responsibilities
- Design, develop, and maintain advanced AI and machine learning systems that power Intuit's products and services
- Architect complex, scalable solutions for AI-driven applications that can handle internet-scale use cases
- Collaborate with cross-functional teams to integrate AI capabilities into various product lines
- Lead the development of AI platforms that enable the democratization of AI within Intuit
- Mentor junior engineers and provide technical leadership to a team of approximately 5 members
- Contribute to the full software development lifecycle, from conception and design to testing and deployment
- Stay current with the latest advancements in AI and machine learning technologies and apply them to improve our products
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- 7+ years of professional software engineering experience, with a strong focus on AI and data-intensive applications
- Expert-level proficiency in Python or Java, with a preference for candidates skilled in both
- Extensive knowledge of AI and machine learning concepts, including deep learning, natural language processing, and computer vision
- Experience with popular AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong understanding of data structures, algorithms, and software design principles
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-based AI services
- Familiarity with big data technologies such as Apache Spark, Hadoop, or similar distributed computing frameworks
- Experience in architecting and delivering solutions for internet-scale applications
- Excellent problem-solving skills and ability to optimize AI models for performance and efficiency
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Experience in leading small technical teams and mentoring junior engineers
Nice-to-Have
- Experience with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines)
- Contributions to open-source AI/ML projects
- Published research papers in AI or machine learning
- Experience with Agile development methodologies
