Machine Learning Engineer
Sofia, Bulgaria - Hybrid
- Pay
- Pay not listed
- Work setting
Hybrid stated — work setting source
Listed location: Sofia, Bulgaria - Hybrid
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingBuild models that improve customer conversion, proposing experiments to test them
Develop models and algorithms that personalize how results are ranked in the product
Partner with Marketing to build bidding and targeting across Paid Search, Retargeting and Email
From the employer’s posting
Spot opportunities, propose experiments, and build models that improve customer conversion
Develop models and algorithms that personalise how results are ranked in the product
Partner closely with Marketing to build more sophisticated bidding and targeting across Paid Search, Retargeting, and Email
What you’ll bring
All qualificationsCore experience
- 1+ years of relevant experience
- Experience building and applying machine learning models with clear business impact
- Strong Python (numpy, pandas, sklearn) and SQL
- Graduate degree in a technical or quantitative discipline
- Fluent spoken and written English
Preferred experience
- Math or CS competition background
- Interest in using AI to scale your impact
Qualification wording
1+ years of relevant experience
Experience building and applying machine learning models with clear business impact
Strong Python (numpy, pandas, sklearn) and SQL
Graduate degree in a technical/quantitative discipline
Fluent spoken and written English
math/CS competition background is a plus
Interest in using AI to scale your impact
Tools in this posting
- Python
- SQL
- NumPy
- pandas
- scikit-learn
Source — Tool mentions in context
- 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
Benefits in the posting
Full benefits wording- 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
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 2, 2026 · 51 days ago
- Recorded sightings
- 18
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria - Hybrid
- Friendly office culture - Hybrid office We are proud to be an Equal Employment Opportunity and Affirmative Action employer.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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