Robust Intelligence was co-founded by Professor Yaron Singer and Kojin Oshiba in 2019 after years of robust machine learning research at Harvard University. The pair realized the significant gap between the state of machine learning and how data scientists use it in practice. They set out to solve the chronic problem of machine learning model failure. Since the journey began, the team has attracted exceptional talent working at the bleeding edge of AI from companies including Amazon, Google, Lyft, Meta, Microsoft, Quora, Salesforce, and Uber.
You will meet many of our teammates throughout your interview process.
We're backed by an exceptional team of investors: Sequoia Capital (lead investor), Tiger Global, Engineering Capital, Harpoon, In-Q-Tel, Ram Shriram (seed investor in Google) and Alex Balkanski (general partner at Benchmark Capital).
Why we exist
AI is eating the world, but the ML models used to make business-critical decisions are prone to failure. This introduces risk to businesses and end-users. Data science teams today react to changes observed in dashboards and write ad hoc tests. Robust Intelligence is on a mission to proactively eliminate model failure by instilling ML Integrity.
The transition to AI is one of the most exciting technological revolutions of our time, but models are still brittle and rife with vulnerabilities. Robust Intelligence's mission is to eliminate AI failure by instilling ML Integrity.
Throughout the interview process, we will introduce you to various aspects of the platform in order to give you a sense of our end-to-end solution and how it serves our mission.
I am interviewing for
Engineering at Robust Intelligence
Our engineering team is on a journey to build a product that redefines how machine learning systems are built today. We take pride in the quality of the product we ship and providing customers value.
On the software engineering side, we are building the Robust Intelligence Platform that is robust, insightful, easy to use and integrates seamlessly with the many existing AI platforms in use. This presents the exciting challenge of transforming our core AI technologies into a secure, scalable, and intuitive product that can be delivered to customers with production AI systems.
On the machine learning side, we are developing and productizing cutting edge technologies for discovering and then fixing security, fairness, and robustness issues of machine learning models and the data that flows through them. This requires a strong understanding of ML fundamentals and engineering discipline, coupled with a healthy dose of creativity and a lot of collaboration.
Our engineering team is collaborative and intellectually curious. Many engineers work cross-functionally between software, machine learning engineering and product to achieve our goals.
We are looking for exceptional employees who are not only technically strong, but are excellent team players. Everyone who joins the company today shapes the culture of the company in ten years. We value members that are humble, genuine, and fun to work with.
We look for employees who thrive in an early stage startup environment. This type of environment is not everyone’s cup of tea. We look for employees with grit, ready to immerse themselves in a dynamic and fast-paced atmosphere. Our vision is what unites us during this startup marathon with highs and lows. We look for employees who are truly passionate about how building robust and secure AI systems shape the future of AI.
Inclusion is our biggest asset. Our customers can rely on us because we rely on our team’s unique backgrounds and experiences to write software without blind spots. We believe in the importance of building a safe and diverse community, where we embrace people who aren't afraid to challenge the status quo.
This is usually a 20-minute conversation with either the recruiter or hiring manager. It’s an opportunity for you to learn more about the role and we’ll ask some questions about your experience and your interest in Robust Intelligence.
This is a one-hour, technical interview with one of the members in our engineering team.
We want to create the opportunity for you to meet as many future co-workers as possible. This way, you can get to know the people you could be working with, and the problems they’re currently solving. You can expect to meet between 3-5 people for up to an hour each. The interviews will be a combination of technical and behavioral in nature. Technical interviews will have a systems design, coding, and algorithm component.
This is is an interview with our CEO and/or Co-founder. This conversation is where you have an opportunity to get to know and understand more the vision and mission of the company, our values, our growth potential, and why we are all so excited to work here. It is also an opportunity for you to ask questions about anything that you think are relevant and important.
Collecting diverse feedback from our team members of varying levels of seniority, experiences, and perspectives is an important part of how we work. Your hiring team will take the time to meet, share individual interview feedback and their objective view on the hire/no hire decision. Once the decision is made it will be communicated to you by the recruiter or hiring manager.
For candidates that move to the Offer stage, we put together a comprehensive offer package that includes a competitive base salary, equity, and benefits. We invite you to socially meet with other members of the team that you might not have had the chance to meet during interviews. This social interaction helps you to get to know us better. Our team is also available to share advice, best practices, and thoughts on transitioning from your current position to your new role at RI.
Once you have accepted our offer, completed the paperwork, reference checks, and background check we will share onboarding information that will help you on your first day as a new member of Robust Intelligence!