Machine Learning Engineer

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