Machine Learning Engineer

September 7, 2024

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $90k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

Apply Now

Receive Emails with Similar Jobs

Kalepa

WebsiteLinkedInAll Job Openings

Kalepa is a company focused on revolutionizing the field of insurance underwriting through its AI-powered software, Copilot. Copilot helps underwriters make more informed decisions by consolidating critical information and streamlining the underwriting process, thus increasing efficiency and profitability for insurance carriers and MGAs. Kalepa ensures that commercial and specialty underwriters can quickly bind the most profitable risks by providing them with essential insights and tools. The company's technology aims to reduce complexities, improve underwriting quality, and enhance growth in the insurance sector.

Insurance • Data • Analytics • Commercial Insurance • Specialty Insurance

11 - 50 employees

🤖 Artificial Intelligence

💰 $14M Series A on 2021-09

📋 Description

• Kalepa is looking for a Machine Learning Engineer with 3+ years of experience to 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.

🎯 Requirements

• You must have 3+ 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. • 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. • 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).