Senior Machine Learning Engineer
Sofia, Bulgaria - Hybrid
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- 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 postingDesign, train, and iterate on ML models that personalize result ranking
Own ML solutions end-to-end, from problem formulation to model validation
Propose experiments and build models to improve conversion and engagement
Develop ML-driven bidding and targeting methodologies with the Marketing team
From the employer’s posting
Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
propose experiments, and build models to improve customer conversion and engagement
Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
What you’ll bring
All qualificationsCore experience
- 4+ years of relevant experience
- Strong Python (numpy, pandas, sklearn) and SQL skills
- Experience building ML models with measurable business impact
- Comfortable with production codebases and Git version control
- Graduate degree in a technical or quantitative discipline
Qualification wording
4+ years of relevant experience
Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
Experience building and using machine learning models with clear and measurable business impact
Comfortable working in production-oriented codebases, including using Git for version control
Graduate degree in a technical or quantitative discipline
Tools in this posting
- Python
- SQL
- NumPy
- pandas
- 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.
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Apr 14, 2026 · 193 days ago
- Recorded sightings
- 133
- Last seen by us
- Oct 21, 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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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
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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