Senior Machine Learning Engineer

Summary

Join Kalepa, a company revolutionizing the commercial insurance industry with its AI-powered platform, as a Senior Machine Learning Engineer. You will lead the development and deployment of machine learning models at scale, transforming vast amounts of data into actionable insights about business risk. This role demands 5+ years of experience in engineering and data science, proficiency in Python and machine learning algorithms (especially NLP), and a passion for tackling challenging problems. You'll work in a fast-paced, collaborative environment with a global team, enjoying competitive salary, significant equity, and various benefits. Kalepa values hustle, transparency, and a meritocratic culture. The role offers opportunities for significant impact and professional growth within a rapidly expanding tech company.

Requirements

• Have 5+ years of experience in engineering and data science
• Have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics
• Be experienced in Python and its major data science libraries, and have deployed models and algorithms in production
• Be comfortable with data science as well as with the engineering required to bring your models to production
• Be excited about using a wide set of technologies, ultimately focused on finding the right tool for the job
• 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

• Have experience with AWS
• 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