The fastest way to ship airtight AI
Openlayer is solving the AI reliability problem. AI has the potential to transform industries, but too often, inconsistent results and a lack of robust testing hold back that progress. We offer something better—an environment where teams can confidently develop and deploy AI systems.
Today, AI-driven teams—from startups to global enterprises—use Openlayer to deliver trustworthy AI experiences. Openlayer helps them focus on what matters: making AI dependable and impactful in the real world.
Read more about the company and our mission.
See the full list of benefits here.
Openlayer is committed to fostering and empowering an inclusive community. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.
Our interview process is designed to be efficient. At each phase, we will be quick to make decisions and will be transparent about our thinking.
The typical interview process takes 2-3 weeks from start to finish, but we have accommodated as short as one week. We are happy to accommodate candidates who might have a short timeline or competing offers. The more information you can share about your situation and where you are in the process, the more we can either attempt to expedite/match, or save you time if we cannot.
Openlayer is a testing and debugging platform for machine learning models. Openlayer makes it easy for ML teams to find failures and biases, figure out their root causes, and create unit tests to ensure they stay fixed — all baked in with experiment tracking and versioning (think GitHub for ML). The company was founded by three previous Siri engineers who contributed to over 15 different AI/ML projects at Apple.
Openlayer is currently working with several well-known enterprise companies worth over $1B, helping them rapidly improve the quality of their models and datasets and save tons of time and money.
We're looking for a founding engineer to help us build the future of sustainable, performant, and ethical machine learning.
We're backed by Y Combinator and several of the top investors and funds in the world, including the founders of companies like Instagram, Voyage, Instacart, Sendbird, Mercury.