Machine Learning Engineer, Kalepa
$85-110k
Equity range: 0.005% – 0.025%
AI-driven commercial insurance provider
Open for applications
AI-driven commercial insurance provider
21-100 employees
Open for applications
$85-110k
Equity range: 0.005% – 0.025%
21-100 employees
Company mission
Kalepa's mission is to leverage its human-AI commercial insurance platform to help identify the true risks of businesses and find the insurance coverage that they need.
Role
Who you are
- You must have 3+ 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
Desirable
- You have experience with AWS
- You have hands-on experience with data analytics and data engineering
What the job involves
- 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
Our take
Insurance products that are underwritten at the Efficient Frontier are essential for businesses to mitigate financial risk, but one-size-fits-all approaches to insurance results in many coverage plans being unfairly priced. The reason for this is that whilst businesses each present their own unique set of hazards, identifying them for each company is an incredibly lengthy process for human underwriters.
Kalepa leverages human-interrupted artificial intelligence to identify the true hazards of a business through a data-driven approach and provide insurance that is priced accordingly. The company claims that it reduces the time that insurance providers take to provide quotes by over 40% and helps businesses save over $15M in losses, whilst also improving coverage uptake for insurance providers.
Whilst the commercial insurance sector is certainly oversaturated, Kalepa stands out by providing its AI-driven underwriting platform to insurance providers, helping them compete through faster quotes and lower prices. In addition to its underwriting platform, the company also provides its solutions in the form of embeddable APIs, and recently formed a new MGA that will underwrite excess casualty risks using Everspan paper.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Very aggressive bonus structure, designed to reward exceptional performance
- Significant equity options package
- Work with an ambitious, smart, global, and fun team to transform a $1T global industry
- Excellent benefits: 100% covered medical, 100% covered vision and dental, very generous PTO, and others
- Global team offsites
Company values
- Customer Focus - We are laser focused on delivering Efficient Frontier Insurance and addressing the challenges of businesses and the carriers, brokers, and technology platforms which serve them. When our customers win, we win
- Hustle and Grit - Obstacles? Climb over them, around them, under them, through them, or simply eliminate them. With tenacity and perseverance, we can make the impossible a reality
- Transparency - We are direct. We know that clear and constant feedback is essential to improvement. The only way to the truth is for everyone to advance their ideas
- Meritocracy - Results speak volumes. Consistent excellence is key to our success as individuals and as Kalepa. We recognize, encourage, and reward merit often and with conviction
- Experimentation - The scientific method is in our DNA. We drive more value and increase impact every time we iterate. We balance data-driven ideas with accountability
Company HQ
Flatiron District, New York, NY
Articles
Leadership
Paul Monasterio
(CEO)Vice President of Applied Predictive Technologies from 2010 to 2016. Experience working in Strategy and Measurement for Facebook.
Daniel Hillman
(COO)Vice President of Sales for Applied Predictive Technologies from 2009 to 2015. Vice President of Sales for Mastercard from 2015 to 2018.
Share this job
View 17 more jobs at Kalepa