KalepaKA

Senior Machine Learning Engineer (Europe)

Kalepa is dedicated to enhancing underwriting performance and driving profitable premium growth for the commercial insurance industry. Kalepa's AI-powered Copilot software enables underwriters to focus their time on the highest ROI opportunities and to quickly evaluate and optimally select risk.

Kalepa

Employee count: 11-50

Salary: 102k-156k USD

AL, AD + 48 more

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):

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:

  • Hustle Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win.
  • Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems.
  • Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth.
  • Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together.
  • Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success.

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).

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: $102k – $156k

Equity range: 0.01% – 0.15%

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 reimbursment.
  • Student stipend.

Apply now

Please let Kalepa know you found this job on Himalayas. This helps us grow!

Apply now

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 102k-156k USD

About Kalepa

Learn more about Kalepa and their company culture.

View company profile

At Kalepa, we are the pioneers of Efficient Frontier Insurance.

Insurers find it difficult to understand the true exposures of businesses and to profitably provide them with policies that reflect that true risk. Businesses struggle to find the coverage they need and are often left underinsured, uninsured, or paying higher rates than needed.

We have developed a human-AI insurance platform specifically for the commercial insurance market which addresses these gaps and inefficiencies.

Our Copilot platform allows commercial insurers and brokers to better insure small and medium businesses with more accurate pricing and relevant coverage. This a win win for insurers and businesses alike.

Our 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.

Employee benefits

Learn about the employee benefits and perks provided at Kalepa.

View benefits

Home office budget

Home office stipend + Mobile phone bill stipend.

Learning and development budget

Continuing education credits to grow your skills.

Company offsites

Global company offsites so you can meet everyone in person.

Retirement benefits

Generous 401(k) with employer match to help you invest in your future.

View Kalepa's employee benefits
Claim this profileKalepa logoKA

Kalepa

View company profileVisit kalepa.com

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

14 remote jobs at Kalepa

Explore the variety of open remote roles at Kalepa, offering flexible work options across multiple disciplines and skill levels.

View all jobs at Kalepa

Remote companies like Kalepa

Find your next opportunity by exploring profiles of companies that are similar to Kalepa. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 30,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan