🕒 12 days ago
Develop and productionize machine-learning and computer-vision solutions that turn noisy real-world data into accurate traffic-control map features, improving detection, positioning, road association, and map quality.
Senior Machine Learning Engineer
📅 Jan 22
Machine LearningPythonNumpyPandas
📜 Description
- Design, train, and iterate on machine learning models that personalize product result rankings.
- Identify machine learning opportunities, propose experiments, and build models to improve customer conversion and engagement.
- Own machine learning solutions end to end, from problem formulation and data exploration to model validation and iteration.
- Collaborate with engineers and stakeholders using Git, code reviews, and reproducible experimentation.
- Partner with Marketing to develop and improve machine-learning-driven bidding and targeting methods.
🛠️ Requirements
- 4+ years of relevant experience and a graduate degree in a technical or quantitative discipline.
- Experience building machine learning models with clear, measurable business impact.
- Hands-on Python experience, including NumPy, pandas, and scikit-learn, plus SQL.
- Comfort working in production-oriented codebases and using Git for version control.
- Ability to translate ambiguous business problems into effective machine learning solutions.
- Strong quantitative and programming skills, curiosity about data and distributions, and a product-driven sensibility.
- Collaborative approach to delivering machine-learning-powered data products; able to learn quickly in a fast-paced startup environment.
- Fluent spoken and written English and Bulgarian.
✨ Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical
- Dental
- 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
Full 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.
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.
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