AI Engineering Lead

5 dni temu

Aleje Jerozolimskie Warszawa, Polska Kalepa Pełny etat
About Kalepa

Kalepa is a pioneering insurance technology company that is transforming the commercial insurance industry with its cutting-edge AI Copilot platform.

Our state-of-the-art AI-powered solution empowers underwriters to make informed, data-driven decisions quickly and accurately. The AI engine is designed to deliver tangible results for our clients, leading to significant improvements in their top and bottom lines.

Kalepa's team members bring extensive experience from top tech companies, including Facebook, Google, Amazon, Mastercard, and Uber. We are backed by leading venture capital firms like IA Ventures and Inspired Capital.

Our Core Values

We pride ourselves on being a meritocratic organization where exceptional people excel and are rewarded with rapid promotions and compensation growth. Our values are designed to unlock the potential of our employees and drive success.

Our core principles include:

  • Hustle & Grit: We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft.
  • Customer Focus: We prioritize work that drives our clients' growth, profitability, and efficiency.
  • Merticocracy: Exceptional people excel and are rewarded with rapid promotions and compensation growth.
  • Transparency: We are honest with each other and cut to the heart of the matter instantly.
  • Experimentation: We tackle complex problems by testing, measuring, and iterating rapidly.

In addition to our NY office, we have remote employees speaking 10+ languages across the globe. We invest in bringing our people together through regional meetups and global offsites.

About the Role

We are seeking an experienced Senior Machine Learning Engineer to lead the development and deployment of machine learning models at scale. As a key member of our team, you will own projects from start to finish and work closely with Product Management and Software Engineers.

You will be responsible for turning vast amounts of structured and unstructured data into novel insights about behavior and risk. You will collaborate with a small team designing, building, and deploying machine learning models to tackle our customers' questions.

What You'll Be Doing

  • Turning vast amounts of data into actionable insights
  • Designing, building, and deploying machine learning models
  • Collaborating with a small team of engineers
  • Applying your knowledge of applied machine learning algorithms and statistics

Requirements

  • Minimum 5 years of experience in machine learning engineering
  • In-depth understanding of applied machine learning algorithms and statistics
  • Experience with Python and its major data science libraries
  • Hands-on experience with data analytics and data engineering
  • Comfort with working in a fast-paced environment

Benefits

We offer a competitive salary of $175,000 per year, significant equity options, 20 paid vacation days, paid bank holidays, unlimited sick leave, gym reimbursement, mobile phone bill reimbursement, and continued learning opportunities.

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