Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Insurify. Sofia.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Work in a full-stack data science team focused on measurable goals and outcomes
- Join forces with Marketing to improve bidding and audience targeting across paid search, retargeting and email
- Build models that tailor how product results are ordered for each user
- Find conversion opportunities, test ideas and develop models to improve customer sign-ups
What you bring
- At least one year of relevant experience, including applying machine learning models with clear business results
- Strong Python skills with NumPy, pandas and sklearn, plus SQL
- A graduate degree in a technical or quantitative subject and fluency in spoken and written English
- Quantitative and programming strength, with the judgment to turn business questions into solutions and deliver them
Who this fits
This role suits someone who likes hands-on, iterative model building in a small team and can work to fixed timelines. The work is based in Sofia, Bulgaria, with a hybrid office arrangement.
From the employer
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