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LeapYear

About us

Who are we?

What we do

We build a machine learning platform for data scientists, researchers, and quants.

With LeapYear, our customers can run analytics across all of their data, with mathematically proven protection against the extraction or reconstruction of any individual record. 

The software we develop here is trusted to operate on extraordinarily sensitive data. We are deployed with the world’s largest enterprises across financial services, healthcare, and technology.

  • haskell
  • Petabyte-Scale Distributed Systems
  • Machine Learning
  • Technology
  • Late Stage Venture
  • People: 10-49
  • Founded: 2015
  • San Francisco, CA, US

Technology

Software Stack

(3)
  • Scala
  • Haskell
  • Python

DevOps

(8)
  • Docker
  • CI/CD
  • Github
  • Ansible
  • TERRAFORM
  • Circleci
  • grafana
  • prometheus

Infrastructure

(3)
  • KUBERNETES
  • AWS
  • Hashicorp

Testing

Manual
Fully automated

Ops

DevOps
Dedicated Ops team

Time to deploy

More than 5 hours
Less than 1 hour

Benefits

Culture

(6)
  • Work From Home Wednesday
  • Flexible Schedules
  • Team Lunches
  • Catered daily lunches
  • Happy Hour events
  • Monthly team activities

Health & Wellness

(4)
  • Health Insurance
  • Flexible Spending Account
  • Dental Insurance
  • Vision Insurance

Financial benefits

(5)
  • 401(K)
  • Equity
  • 401(K) Matching
  • Competitive Salary
  • Pre-Tax Commuter Benefit

Parents

(1)
  • Parental Leave

Extras

(3)
  • Office Library
  • Casual Dress
  • Company Outings

Hire with us!

Create a free profile page for your company.

Use this space to connect with our community. Companies with profiles typically get 20% more applications!

  • Technology
  • Late Stage Venture
  • People: 10-49
  • Founded: 2015
  • San Francisco, CA, US

Hire with us!

Create a free profile page for your company.

Use this space to connect with our community. Companies with profiles typically get 20% more applications!

How we work

How we work

We are parents, pet-lovers, physicists, cyclists, teachers, Haskellers, and musicians that get together five days a week to solve complex problems.

We are building LeapYear for the long-term, and we understand that this requires a great working environment, diverse perspectives, and a culture built on shared values.

Recent technical challenges we've been working on

  • Developing a Spark-based query engine with strong typechecking.
  • Achieving terabyte and petabyte scale on Spark.
  • Refactoring our persistence layer.
  • Using Haskell to implement enterprise-ready subsystems for authentication, permissioning, job management, and logging.
  • Extending the platform to support automated daily data updates.

Our values as interviewers:

  • We make evidence-based hiring decisions (Interviews are standardized, cognitive biases are avoided)
  • We prefer face-to-face time with you (Zoom calls over phone calls)
  • We minimize the difference between interviews and real work (Code reviews and design exercises, not whiteboard coding)
  • You deserve to know what to expect at every stage

Typical interview process:

  1. Technical screen +
  2. call with hiring manager
  3. On-site interview
  4. References
  5. Offer