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Senior Machine Learning Engineer (Europe)

Kalepa logo

Location
AD, AL + 48 more
Base Salary
102k-156k USD
Kalepa

Job Description

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.

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About the job

Nov 13, 2024

Full-time

102k-156k USD

  1. AD Andorra
  2. AL Albania
  3. AT Austria
  4. AX Åland Islands
  5. BA Bosnia & Herzegovina
  6. BE Belgium
  7. BG Bulgaria
  8. BY Belarus
  9. CH Switzerland
  10. CZ Czechia
  11. DE Germany
  12. DK Denmark
  13. EE Estonia
  14. ES Spain
  15. FI Finland
  16. FO Faroe Islands
  17. FR France
  18. GB United Kingdom
  19. GG Guernsey
  20. GI Gibraltar
  21. GR Greece
  22. HR Croatia
  23. HU Hungary
  24. IE Ireland
  25. IM Isle of Man
  26. IS Iceland
  27. IT Italy
  28. JE Jersey
  29. LI Liechtenstein
  30. LT Lithuania
  31. LU Luxembourg
  32. LV Latvia
  33. MC Monaco
  34. MD Moldova
  35. ME Montenegro
  36. MK North Macedonia
  37. MT Malta
  38. NL Netherlands
  39. NO Norway
  40. PL Poland
  41. PT Portugal
  42. RO Romania
  43. RS Serbia
  44. SE Sweden
  45. SI Slovenia
  46. SJ Svalbard & Jan Mayen
  47. SK Slovakia
  48. SM San Marino
  49. UA Ukraine
  50. VA Vatican City
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