Senior Machine Learning Engineer

Summary

Join Kalepa, a company revolutionizing the commercial insurance industry with its AI Copilot platform, as a Senior Machine Learning Engineer. You will lead the development and deployment of machine learning models to analyze business risk, utilizing vast amounts of data from various sources. This role offers full ownership of projects, a collaborative environment, and the opportunity to work with a global team of talented individuals. Kalepa values hustle, customer focus, meritocracy, transparency, and experimentation, fostering a culture of rapid growth and innovation.

Requirements

• 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

Responsibilities

• Lead the framing, development, and deployment at the scale of machine learning models to understand the risk of various classes of businesses
• Turn vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk
• Drive the project’s direction and maintain focus
• Work closely with Product Management and Software Engineers

Preferred Qualifications

• You have experience with AWS
• You have hands-on experience with data analytics and data engineering

Benefits

• 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 reimbursement
• Student stipend