Senior Machine Learning Engineer

Reposted Yesterday
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Sofia, Sofia-grad, BGR
In-Office
Senior level
Artificial Intelligence • Consumer Web • Fintech • Insurance
The Role
The role involves designing and training machine learning models, collaborating with teams, and translating business problems into ML solutions to improve customer engagement.
Summary Generated by Built In

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.

How you will make an impact
  • 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
What you need to succeed
  • 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
We are proud to be an Equal Employment Opportunity and Affirmative Action employer.

Skills Required

  • 4+ years of relevant experience
  • Experience building and using machine learning models
  • Strong skills in Python and SQL
  • Experience in production-oriented codebases and using Git
  • Graduate degree in a technical or quantitative discipline

Insurify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Insurify and has not been reviewed or approved by Insurify.

  • Leave & Time Off Breadth Feedback suggests time off is relatively expansive, including unlimited paid time off and holidays off. Flexibility-oriented time-off practices are positioned as a meaningful part of the overall package.
  • Retirement Support Feedback suggests retirement benefits include a 401(k) plan with matching contributions. This adds a longer-term savings component beyond base pay.
  • Equity Value & Accessibility Feedback suggests equity is part of the rewards package through stock options and references to company equity. This can increase perceived upside for certain roles compared to salary-only offers.

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The Company
HQ: Cambridge, MA
250 Employees
Year Founded: 2013

What We Do

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 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.

Why Work With Us

$1.3 Trillion market opportunity MIT alumni founders Female-led startup $130M total funding Strong leadership team with experience from many successful startups around the world

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