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.
Qualifications
- PhD, or Master's degree or Bachelor’s degree with 8+ years of CS, CE, ML or related field experience
- 8+ years experience of software development working in large-scale distributed technology environments
- 3+ years of experience with machine learning and neural deep learning methods, modeling tools such as scikit-learn, numpy, scipy, Tensorflow, MxNet, Spark MLLib, etc.
and applying AI / ML methods for business applications such as recommender systems, user modeling, knowledge graphs, ranking, reinforcement learning, etc.
- Strong analytical, strategic thinking, problem-solving and communication skills
- End-to-end hands on experience in building large scale data processing systems, large scale machine learning systems, and big data / cloud technologies (.
AWS, Google Cloud, Azure)
- Expert level proficiency in Java, Python, Web Technologies, Design & Architecture
- Knowledge of building AI native applications
- Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
- Understands evaluation tools to validate and measure the accuracy of solutions.
- High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.
- Understanding of the latest tools and technologies that apply AI to real-world applications.
- Self-motivated attitude with the ability to multitask and thrive in a timeline-driven and fast changing environment
- Ability to take a project from scoping requirements through actual launch of the project.
- Knowledge of current trends and best practices in the modern SaaS technology landscape, state-of-the-art machine learning techniques
- Experience in Scrum, Agile Process, Unit Testing & Test-Driven Development.
- Great business acumen with a passion to solve for the customer
Responsibilities
- Design and develop significant technology initiatives end to end from conception to delivery and across multiple layers of product and architecture
- Ensure the highest standards for engineering design, implementation, and testing
- Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for Intuit
- Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders
- Stay aware of industry trends and make technology choices and strategic decisions
- Mentor engineers on technology, process, people, and product skills
- Ship high quality products and features with an end-to-end mindset from conception to delivery and production support, owning specifications, quality, release deployments and monitoring of production health
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $208,000-281,500.
This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs .
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.