I am looking for a Machine Learning Engineer to join a leading Mission-Driven FinTech company that uses Machine Learning to plug the gaps in the American insurance industry.

Responsibilities:

4+ years of backend software engineering in a team environment.
Bachelor's degree in mathematics, statistics, data science, or related field of study.
Experience writing and debugging complex database queries and code.
Ability to quickly learn new technologies to help the team explore new solutions.
Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked.
Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.
Mentorship of others – you raise the bar on coding standards and provide meaningful feedback on code changes.

Experience:

Experience with writing production-level Python.
Unit and integration testing.
Use of cloud technologies (AWS, GCP, Azure).
Participate in agile methodologies (daily standup, sprint planning, retros).
Profiling and performance tuning of production code a bonus.
Direct experience with using ML libraries like sklearn, or Spark ML in a production environment is a huge bonus!

On Offer:

Strong base salary
Impressive cash/stock bonus scheme
Excellent benefits
Flexible hours / WFH
Unlimited Time Off
Nutritional Snacks and Weekly Lunches