Insurify
Machine Learning Engineer
Sofia, Bulgaria - Hybrid
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Country
- BG
- Work mode
- On-site / unstated
- First seen by hirly
- 8 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Why us?
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
How you'll make an impact
Work and grow in a goal-focused, impact-driven full-stack data science team
Partner closely with Marketing to build more sophisticated bidding and targeting across Paid Search, Retargeting, and Email
Develop models and algorithms that personalise how results are ranked in the product
Spot opportunities, propose experiments, and build models that improve customer conversion
What you need to succeed
1+ years of relevant experience
Experience building and applying machine learning models with clear business impact
Strong Python (numpy, pandas, sklearn) and SQL
Strong quantitative and programming skills with a product-driven sensibility
Ability to clarify a business problem, identify a good solution, and ship it
Curiosity about data and outliers — using data to propose and confirm cause and effect
Delivery focus: you get things done within a fixed timeline (math/CS competition background is a plus)
Interest in using AI to scale your impact
Quick learner with the drive for startup pace
Comfortable working iteratively and hands-on in a small team
Graduate degree in a technical/quantitative discipline
Fluent spoken and written English
Benefits
25 days annual leave
Enhanced private medical, dental and vision insurance plans
Yearly wellbeing budget or Multisport card
Personal budget for learning and books
Office kitchen and fun area with snacks and beverages
Regular social events
Friendly office culture
Hybrid office
We are proud to be an Equal Employment Opportunity and Affirmative Action employer.
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