Machine Learning Engineer III

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.

Stash is seeking Machine Learning Engineers to join our engineering team. This role focuses on shipping ML-driven features that enhance the steady building of wealth, spend management and financial education for millions of our customers.  

As a ML engineer, you will work across many functions in the company from Design, Modeling, Engineering, Growth, Support and Fraud Prevention to enable sophisticated AI solutions at scale.  We are looking for technical professionals with motivation and deep knowledge to build beautiful, intuitive products with empathy for our customers. This is a career-defining opportunity, where you will join one of the fast-growing fintech companies and help bring to market the latest innovations including crypto products.  

You will:

• Formulate a real-world enterprise scenario into a machine learning problem and design the optimal solutions for the problem.
• Wrangle with large data sets on the cloud and transform them into innovative features/signals to improve a machine learning model.
• Participate in end-to-end machine learning lifecycle, from prototyping, implementation & evaluation ML and DL models, followed by deployment and monitoring using cloud tools.
• Develop entity graphs, feature stores, model training and model serving capabilities in a fault-tolerant distributed computing environment
• Collaborate with other ML engineers and Data Scientists in building highly scalable ML models for NLP, Fraud Prevention, Growth, Recommenders, Personalization and other use cases
• Understand industry and company-wide trends to help develop new technologies

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or related fields
• 2+ years of experience (or research projects in lieu of industry experience) in the areas of machine learning, data science, or information retrieval
• Proficiency and demonstrable skills in programming languages (Python, C++, Java or related ML programming languages) 
• Experience with cloud computing platforms, such as AWS, Google Cloud or Azure
• Eagerness to share your own ideas, and openness to those of others

#LI-JB1

At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races,  genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on. 

Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve.  As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@Stash.com. 

Invest in Yourself: 

• Equity & Stash Accounts [Invest, Retire, Custodial, Bank]                     
• Flexible PTO 
• Learning & Development Fund 
• Work from Home Stipends
• Parental Leave [Primary & Secondary]

Recognition:

• BuiltIn’s Best Places to Work (2019, 2020, 2021) 
• Forbes Fintech 50 (2019, 2020, 2021)
• Best Digital Bank, Finovate Awards (2020)
• Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
• LendIt Fintech Innovator of the Year (2019 & 2020)

**No recruiters, please**