We are solving hard problems that impact every data-driven organization.
The security of information systems has not kept pace with our ability to collect and analyze data.
Technological advances have enabled intelligent use of data at scale. Enterprises systems can turn massive amounts of data into valuable predictions, recommendations, and data products.
However, data breaches expose hundreds of millions of records each year.
Enterprises have no way to securely utilize their sensitive data assets, and as a consequence, a number of complex legal, administrative, and technical controls have emerged to limit access to sensitive information.
This approach of restricting access is fundamentally flawed:
- Restrictions necessarily constrain or eliminate collaboration and progress
- Restrictions do not provide any meaningful assurances of security
As a result, valuable data is both vulnerable and underutilized.
Our mission is to resolve the conflict between innovation and information security.
LeapYear is pioneering a new approach to the data security problem.
By implementing cutting-edge research in AI and cryptography, we have built the first machine learning platform for extracting insights from sensitive data with proven security guarantees of security and privacy. LeapYear is venture-backed and post-revenue
LeapYear is where you can do your best work.
This is a uniquely exciting place to develop software. You'll be joining a group of focused, easygoing, and hardworking people. LeapYear's team has decades of collective experience with Google, Apple, the Department of Defense, and includes PhD-level cryptographers and machine learning researchers from MIT, Stanford, Cambridge University, and Microsoft Research. We have a strong culture of teaching, learning, and constant improvement.
Every week we unwind with company-wide whiteboard talks. So far you’ve missed:
- crash courses on picking locks, fixing bikes, and composing music
- a leading expert in condensed matter physics teaching the basics of spintronics
- An overview of how advanced mathematics in dynamic systems and network science are used to predict socio-political phenomena
- a former Fortune 500 COO sharing lessons learned from decades in corporate America
We are tackling hard problems with Haskell, advanced mathematics, and a rigorous approach to systems engineering.
Culture of teaching and learning
Relocation support and visa sponsorship
Competitive compensation package of salary and equity
Catered lunch and dinner every day
Ergonomic work stations
Health insurance plan
Free yoga and meditation classes at a world-class studio downstairs
If you thrive in an open environment working on deeply technical challenges, we’re looking for you.
You can also send an email to firstname.lastname@example.org if you're interested in learning more, and we will be in touch with you shortly.