About Kalepa:
Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook.
Kalepa is changing that.
Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production
-
helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it "truly an underwriter's dream."
Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Google, Amazon, Mastercard, and Uber.
Our Values (This is important):
Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.
Success at Kalepa is bred from five core principles:
In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena).
Kalepa's culture isn't for everyone, and that's ok. But for the people who are a fit, they can't imagine working elsewhere.
About the role:
Salary range: $85k – $165k USD*
Kalepa is looking for a Senior
Machine Learning Engineer
with
5+ years
of experience to lead the framing, development, and deployment at the scale of machine learning models.
As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses.
You will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk.
Team members are given full ownership over their projects and are expected to drive the project's direction and maintain focus. The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers.
About you:
- You have 5+ years of experience in engineering and data science.
- You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words "it can't be done" don't exist in your vocabulary.
- You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics
- You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production
- You are comfortable with data science as well as with the engineering required to bring your models to production.
- You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job.
- You value open, frank, and respectful communication.
As a plus:
- You have experience with AWS
- You have hands-on experience with data analytics and data engineering.
What you'll get:
- Competitive salary (based on experience level)*.
- Significant equity options package.
- Work with an ambitious, smart, global, and fun team to transform a $1T global industry.
- 20 days of PTO a year.
- Global team offsites.
- Phone reimbursement. Gym reimbursement.
- Student stipend.
- The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.
