SmartAsset is on a mission to help people get better Financial Advice. Our vision is to be the web’s go to resource for financial advice powering the largest marketplace connecting consumers with financial advisors and financial products.
We have raised $110 Million in Series D Funding, bringing our valuation to over $1 Billion to further fuel SmartAsset’s continued growth of its market defining SmartAdvisor platform. Today, SmartAsset reaches more than 100 million people each month through its personal finance content, custom tools and personalized calculators. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek and Barron’s.
At Smartasset you will join a team of data scientists, analysts and ML engineers that are at the forefront of AI/ML application for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing Data team.
We are seeking an experienced Staff ML Engineer to join our team and develop high-performance, scalable and reliable machine learning and business logic as a service via REST APIs. As a key member of our team, you will be responsible for designing and implementing the API service and supporting the algorithm logic, ensuring that they can handle thousands of users per second.
If you are passionate about building high-performance, scalable and reliable algorithms as a service and have a track record of delivering solutions in AWS, we would love to hear from you.
Your responsibilities will include:
California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* Minimum Salary of $132K - 230K + equity + benefits.
Salary at SmarAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.