Posted on:
November 4, 2024
About Kalepa: Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook. Kalepa is upending this. Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions. Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot. That's why our clients call Copilot 'truly an underwriter's dream' and proclaim that Copilot helps them 'almost double the amount of accounts they can look at in the day.' Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital.
Our Values (This is important): Kalepa's 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, with regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon). Kalepa's culture isn't for everyone, and that's ok. But for those who fit, it’s an unparalleled environment.
About the role:
Salary range: $185k – $225k
Equity range: 0.05% – 0.20%
Kalepa is looking for a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment at scale of machine learning models to assess the risk of various classes of businesses. You will turn vast amounts of structured and unstructured data from sources like web data, geolocation, and satellite imaging into novel insights about behavior and risk. Team members maintain full ownership over their projects and are expected to drive the project’s direction and focus. The team operates in two-week sprints, with ML Engineers collaborating closely with Product Management and Software Engineers.
About you:
- You have 5+ years of experience in engineering and data science.
- You thrive on finding solutions, destroying obstacles, and embracing challenges; 'it can't be done' is not in your vocabulary.
- You possess in-depth understanding of applied machine learning algorithms, especially NLP, and statistics.
- You are proficient in Python and its major data science libraries, with experience in deploying models and algorithms in production.
- You balance data science with the engineering needed to bring models to production.
- You enjoy using a variety of technologies to find the right tool for the job.
- You value open, frank, and respectful communication.
As a plus:
- Experience with AWS
- 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.
- 100% covered PPO medical, vision and dental for individuals and families.
- Healthy living/gym stipend.
- Mobile phone bill stipend.
- Continuing education credits.
- 401(k) plan with employer contribution (regardless of employee contribution).