At Fairmatic, we’re on a mission to make roads safer—one fleet at a time.
We’re revolutionizing auto insurance with AI and data-driven insights, offering personalized options that reward safe driving with meaningful savings. Our predictive risk models, trained on 200 billion miles of driving data, have been tested by hundreds of thousands of drivers, proving their real-world impact.
Our leadership team brings together serial entrepreneurs, insurance industry pioneers, and seasoned startup veterans—raising over $88M in funding in under a year.
We’re an insurtech company with AI at our core—but at Fairmatic, AI isn’t just for engineers. We believe everyone can elevate their workflow with the latest AI tools.
Join our global team of curious, adaptable technologists and problem-solvers who are passionate about making a real-world difference!
About the role:
We are looking for a talented and motivated Machine Learning Engineer to join our Data Science team. Risk Data Science and Machine Learning Engineering is the core of what we do in Fairmatic. You will help develop and productize machine learning models predicting claims frequency and severity and develop GenAI services. You will help to enhance other aspects of rating, claims, and the customer experience (e.g. insight to improve fleet safety). This role involves continuous experimentation, designing solutions, and an iterative approach to productizing our learnings. You will work closely with product management, data scientists and other product/engineering teams.
A day in the life:
- Understand business requirements, develop, train and operationalize models that cohesively integrate with the product and continuously benchmark their performance
- Work on GenAI services end-to-end, from ideation and experimentation to deployment and optimization for real-world use cases.
- Identify new features, and ensure data quality by supervising and defining data acquisition parameters
- Analyze data to identify patterns or anomalies that could affect model performance
- Work alongside data scientists to develop new techniques, algorithms and systems to improve model performance
- Develop a platform that allows us to quickly and iteratively conduct experiments, test, refine, deploy and productize new models
- Develop APIs and ML libraries for easy integration with other services
- Contribute to and consistently raise the bar for engineering best practices including coding standards, writing well-tested code and extensible reusable libraries.
- Exemplify and foster Fairmatic’s humble, collaborative and impact-obsessed culture
If you feel we’re describing you, it was meant to be…
- Bachelor's Degree in Computer Science, Data Science or Software Engineering.
- Master's Degree in Machine Learning, Artificial Intelligence, or Data Science - Advantage
- 3+ years in Machine Learning, writing and maintaining production-grade ML systems that are designed to be performant, scalable and resilient
- Ability to write robust Python code with familiarity with machine learning frameworks and libraries (like scikit-learn and pandas)
- Experience with cloud frameworks (like AWS sagemaker) and other MLOps tools for orchestration (like AirFlow) and experiment tracking (like MLFlow and weights & biases)
- Experience in writing SQL queries for exploring and analyzing datasets
- Understanding of HTTP APIs, and working in containerized environments in the cloud
- Good knowledge of math, probability, statistics and machine learning algorithms
- Excellent verbal/written communication skills
- Self-driven and able to work independently
- Proactive learning and staying updated on emerging trends in AI/ML
- Comfortable collaborating with a diverse, global team across different time zones and cultural contexts to drive innovative solutions.
- Ability to work in a highly agile, intensely iterative software development process.
Some of our Bangalore Office Benefits & Perks:
Unlimited PTO!
Employee Health Insurance Program
Hybrid working model
Mobile and home internet allowance
Pension contribution
Wellness and entertainment allowance
Paid company trips both nationally and internationally
Awesome Fairmatic gifts and swag!
Top Skills
What We Do
Fairmatic is creating a new commercial insurance category by delivering the first data-driven fleet insurance that rewards safety with savings. Fairmatic’s new approach leverages AI-powered technology in combination with deep telematics data to drive meaningful cost savings for fleets by valuing responsible driving leading to safer roads. The Fairmatic underwriting model has been trained and tested with over 200 billion miles of driving data to help fleets proactively manage safety issues with actionable insights.
Founded by Jonathan Matus, a serial technologist who helped launch Android and Facebook mobile, Fairmatic is fundamentally reimagining commercial auto insurance from the ground up to make roads safer one fleet at a time. Fairmatic has raised a total of $88M from Battery Ventures, Foundation Capital, Aquiline Technology Growth and insurtech, fintech and technology investors, including Jerry Yang, Oren Zeev, and Bill Tai.
Fairmatic is expanding its global team. Learn more about Fairmatic at fairmatic.com or join the team of unconventional, adaptable and curious technologists by reaching out to [email protected].