Senior Machine Learning Engineer IV

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

As a senior technical leader, 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 a technical leader with motivation to build beautiful, intuitive products with empathy for our customers.  This is a career-defining opportunity, where you can help bring to market new categories of products including crypto products.  

You will:

  • Play a technical leadership role, influencing, collaborating and contributing to ML-driven product features that seamlessly help improve the customer’s financial condition
  • Help lead the company’s machine learning technical direction to pursue opportunities that make the larger organization more efficient
  • Develop entity graphs, feature stores, model training and model serving capabilities in a fault-tolerant distributed computing environment
  • Collaborate with 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:

  • 8+ years of experience in one or more of the following areas:  statistical classifiers to deep learning, reinforcement learning, NLP, personalized AI agents or recommenders
  • 12+ years of experience in programming languages (Python, C++, Java or Scala) 
  • Proven track record of planning multi-year technical roadmap where short-term releases ladder into the long-term vision
  • Experience communicating and working across functions to drive solutions
  • Experience in mentoring/influencing senior engineers across organizations
  • Eagerness to share your own ideas, and openness to those of others
  • Experience with cloud computing platforms, such as AWS, Google Cloud or Azure

#LI-JB1

#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 [email protected]

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**

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Location

We offer employees the choice and flexibility to work where you want from anywhere in the US or UK. We offer stipends to make home offices productive and for those who don't live near our NYC and London offices, to secure space when they want it.

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