Senior Machine Learning Engineer

Data Scientist

Step's mission is to improve the financial future of the next generation. Millions of people use our banking and borrowing products to manage, build, and grow their money. Now that we're part of Beast Industries – the company behind MrBeast – we're poised for a new phase of growth to deliver financial literacy and tools at massive scale.

The role Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud. What you'll do:

• Build and Deploy ML Models: You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
• Lead Technical Efforts: You'll take the lead in the Risk/Fraud area, providing technical direction and helping shape team's strategy.
• Data Manipulation: You'll use SQL to efficiently fetch, transform, and manipulate data, ensuring it's ready for model development.
• Code Development: You'll write production-grade code to deliver robust machine learning solutions.
• Design Experiments: You'll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
• Cross-Function Partnership: Partner with Operations Team to quickly respond to rapidly evolving events.

What we're looking for:

• 5+ years experience in Data Science or ML Engineering
• Proficiency in SQL and Python
• Ability to communicate clearly with both technical and non-technical audiences
• Excellent data analysis skills
• Experience developing and deploying machine learning models
• Experience, but not required, in working in financial systems, including lending or risk/fraud

This role is available remotely within the U.S. or in our Palo Alto, CA office.

How we're different:

We stand for the side hustlers, the creators, the freelancers, and the investors — people who are not afraid to take on challenges, especially when it comes to their finances. Step is focused on disrupting the banking industry by delivering a differentiated, mobile-first consumer experience, and we operate like the customers we serve: customer obsessed, acting as owners, moving with urgency, and breaking the norm.

Step is a wholly owned subsidiary of Beast Industries, the media and entertainment company founded by Jimmy Donaldson (MrBeast), the most-watched person in the world. Beast Industries spans digital media, consumer products, philanthropy, and new ventures, with an audience reach no consumer company has ever had — and Step is tasked with turning that reach into financial literacy and tools for the next generation at massive scale.

With Beast's distribution and brand behind it, Step is positioned to scale significantly over the next 12 months, and joining now means helping shape that trajectory from the inside.

Step is a remote-first company building banking for the next generation. We offer competitive compensation and stock options, generous medical, dental, vision, and company-paid life insurance, a 401k plan with Safe Harbor company matching, a flexible vacation policy and paid company holidays, 12 weeks paid parental leave with flexible return to work, and a company-provided technology package.

If you're looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you! Step is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law. Step is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and interview process. If you need an accommodation, please let us know at View email address on click.appcast.io and we'll work with you to provide appropriate support.