Machine Learning Engineer

Summary

Join Kalepa, a company revolutionizing the commercial insurance industry with its AI-powered platform, as a 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 a strong work ethic, deep understanding of machine learning algorithms (especially NLP), and proficiency in Python and related data science libraries. You'll collaborate closely with product and software engineering teams in a fast-paced, two-week sprint environment. Kalepa offers a competitive salary and equity, comprehensive benefits, and a vibrant global team culture.

Requirements

• Have 3+ 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
• 100% covered PPO medical, 100% covered vision and dental for individuals and families
• Healthy living/gym stipend
• Mobile phone bill stipend
• Continuing education credits
• 401(k) plan with employer contribution (regardless of employee contribution)