My client is a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry, through their powerful platform ecosystem. They were recently acquired in <3 years for more than $3bn. The 'gig-economy' aspect allows their independent agents to work in an Uber-style way, maximizing revenue 24/7/365.

What You'll Do:

Take insights, actions, and models from the data scientists and translate that into software products that enable business optimization
Use a variety of data mining and analysis methods, uses a variety of data tools, build and implement models, develop algorithms, and create simulations
Design and build the prediction services that make this development possible with no support from engineering

What You'll Bring:

4+ years of backend software engineering in a team environment
Experience writing and debugging complex database queries and code
Ability to quickly learn new technologies to help the team explore new solutions
Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business
Bachelors degree in mathematics, statistics, datañscience or related field of study
Experience with writing production-level Python
Unit and integration testing
Use of cloud technologies (AWS, GCP, Azure)
Profiling and performance tuning of production code a bonus
Direct experience with using ML libraries like sklearn, or Spark ML in a production environment a huge bonus!

On Offer:

Base salary to $200k
Comprehensive long-term stock/bonus program
Excellent benefits
Flexible working hours/PTO

Senior Machine Learning Engineer | $3bn ML Unicorn