Senior Machine Learning Engineer
Sofia, Bulgaria - Hybrid
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid stated — work setup source
Listed location: Sofia, Bulgaria - Hybrid
Read the full posting- Employment
- Unconfirmed
Tools in this posting
- Python
- NumPy
- pandas
- SQL
- scikit-learn
Source — Tool mentions in context
- Experience building and using machine learning models with clear and measurable business impact - Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL - Comfortable working in production-oriented codebases, including using Git for version control
Benefits in the posting
Full benefits wording- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
From the employer’s posting.
Job description
Why us?
Insurify is one of 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, 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.
- Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
- Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
- Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
- Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
- Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
- 4+ years of relevant experience
- Experience building and using machine learning models with clear and measurable business impact
- Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
- Comfortable working in production-oriented codebases, including using Git for version control
- An interactive and collaborative approach to delivering ML-powered data products
- Quick learning ability and a drive well-suited to a fast-paced startup environment
- Experience clarifying ambiguous business problems and translating them into effective ML solutions
- Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
- Strong quantitative and programming skills paired with a product-driven sensibility
- Graduate degree in a technical or quantitative discipline
- Fluent in spoken and written English and Bulgarian
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
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.
- Status in our records
- Active
- First seen by us
- Apr 14, 2026
- Recorded sightings
- 127
- Last seen by us
- Oct 8, 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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