Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.

We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.

Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in your home, in an office, or a combination of both. Anywhere in the US or UK.  

Let’s solve complex problems and tackle wealth inequality.

Stash is seeking a Senior Machine Learning Engineer 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
• 5+ 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-REMOTE

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]

Invest in Yourself -UK: 

• 25 days annual leave, group personal pension plan (3% employer contributions), and optional subsidized private medical care 
• £1,000 Educational Stipend to invest in your career, growth, and development
• £350 Work-From-Home Stipend to set up your ergonomically-friendly remote workspace + £26 monthly Internet reimbursement

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**