Come join Intuit’s Identity platform team as a Senior Staff Software Engineer. We are bootstrapping a new initiative within the Identity organization, and you have an opportunity to be a founding member. We are building a large customer network to unlock meaningful connections between our customers and businesses that help grow small businesses and make ends meet for people.
At the heart of it is a set of platform and ML capabilities such as identity verification, KYC/KYB, identity resolution, Similarity Detection, Search, and Recommendations, Knowledge Graph, etc. In addition to unlocking new connections, these capabilities will also power use cases such as fraud prevention, compliance, personalized recommendations, and seamless experience for our customers across the Intuit ecosystem.
This is a new and fast-growing initiative within the Identity organization. You will have a chance to influence the strategy and shape the vision. You will be working with a highly motivated and cohesive team. You will experience a startup-like culture while enjoying the benefits of a well-established large organization.
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.
Minimum Requirements
- PhD, Master’s degree, or Bachelor’s degree with 8+ years of CS, CE, ML, or related field experience.
- 8+ years of experience in 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 (e.g., AWS, Google Cloud, Azure).
- Expert-level proficiency in Java, Python, Web Technologies, Design & Architecture.
- Knowledge of building AI native applications, including:
- Guiding the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.
- Understanding 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.