Machine Learning Engineer

AI Copilot platform for commercial insurance underwriters, empowering smarter, faster, and more accurate decisions.
$72,000 - $102,000
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Finance

Description For Machine Learning Engineer

Kalepa is revolutionizing the trillion-dollar commercial insurance industry with its state-of-the-art AI Copilot platform. As a Machine Learning Engineer, you'll lead the framing, development, and deployment of machine learning models at scale to understand the risk of various business classes. You'll work with vast amounts of structured and unstructured data from diverse sources, including web data, geolocation, and satellite imaging, to generate novel insights about behavior and risk.

The role demands a hustler mentality, finding ways to get things done and overcoming obstacles. You'll need 3+ years of experience in engineering and data science, with an in-depth understanding of applied machine learning algorithms, especially NLP, and statistics. Proficiency in Python and its major data science libraries is essential, along with experience in deploying models and algorithms in production.

Kalepa values transparency, experimentation, and a customer-focused approach. The team works in two-week sprints, collaborating closely with Product Management and Software Engineers. You'll have full ownership of your projects, driving their direction and maintaining focus.

The company culture is built on five core principles: Hustle & Grit, Customer Focus, Meritocracy, Transparency, and Experimentation. Kalepa rewards exceptional performance with rapid promotions and compensation growth. The team is global, with remote employees speaking 10+ languages, and invests in bringing people together through regional meetups and annual global offsites.

This is a ground floor opportunity to join Kalepa's data science team and work with an ambitious, smart, and fun team to transform a $1T global industry. Benefits include a competitive salary, significant equity options package, 20 days of PTO a year, and participation in global team offsites.

Last updated 5 months ago

Responsibilities For Machine Learning Engineer

  • Lead the framing, development, and deployment of machine learning models at scale
  • Turn vast amounts of structured and unstructured data into novel insights about behavior and risk
  • Drive project direction and maintain focus
  • Work closely with Product Management and Software Engineers
  • Find ways to get things done and overcome obstacles

Requirements For Machine Learning Engineer

Python
  • 3+ years of experience in engineering and data science
  • In-depth understanding of applied machine learning algorithms, especially NLP, and statistics
  • Experience with Python and its major data science libraries
  • Experience deploying models and algorithms in production
  • Comfortable with data science and engineering to bring models to production
  • Excited about using a wide set of technologies
  • Value open, frank, and respectful communication

Benefits For Machine Learning Engineer

Equity
  • Competitive salary
  • Significant equity options package
  • 20 days of PTO a year
  • Global team offsites

Interested in this job?

Jobs Related To Kalepa Machine Learning Engineer

AI Software Engineer

AI Software Engineer position at Gallatin, developing AI-powered solutions for defense logistics, requiring expertise in machine learning and MLOps.

ML Compiler Engineer, AWS Neuron, Annapurna Labs

ML Compiler Engineer position at AWS Neuron team, focusing on developing compiler technology for deep-learning workloads and contributing to cutting-edge ML infrastructure.

Software Development Engineer, Promotion Analytics and Optimization Services

Software Development Engineer role at Amazon focusing on machine learning and data analytics for promotion optimization, offering competitive salary and benefits in Vancouver.

Software Development Engineer, Predictive Targeting

Software Development Engineer role at Amazon focusing on machine learning and predictive analytics for customer targeting systems.

AI Software Engineer

AI Software Engineer position at HelpFlow to build multi-agent AI systems, requiring strong programming and AI development experience, offering remote work with potential for full-time employment.