Senior/Principal Software Engineer - Machine Learning
About Assurance
At Assurance we are disrupting the antiquated and inefficient world of insurance and financial services. Our team of world class software engineers, data scientists, and business professionals are modernizing how people obtain and manage their financial life all through our powerful platform ecosystem. We are rapidly growing as we expand our product offerings and global footprint, and this growth continues to present new and exciting challenges as we push our industry into its future. We eliminate waste throughout the industry and calculate the complex into simple, valuable solutions to improve people's lives. We are humble, driven, and committed to improving the lives of millions.
About the Position
As we build the future of consumer insurance in a modern age, data and machine learning are at the core of everything that we do. The role requires team members who take insights, actions, and models from our data scientists and translate that into software products that enable business optimization. Currently, we have more than 65 models in production, making tens-of-millions of real-time predictions per day. Our team uses a variety of data mining and analysis methods, uses a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Our ML Engineers design and build the prediction services that makes this development possible with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
We’re changing the world of consumer insurance and financial services everyday through the power of Machine Learning and Data Science – join us on the journey!
To be successful in this role, you must possess the following:
- A drive to move fast and deliver business value.
- 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.
- 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 providing meaningful feedback on code changes.
- Enthusiastic yet humble nature – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room.
- Bachelors degree in mathematics, statistics, data science or related field of study.
The following additional experience is desired:
- 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 a huge bonus!
Please review our CCPA policies here.
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