Become the face of Step’s social content, being on camera talent
Own the end-to-end organic social strategy across TikTok, Instagram, and YouTube
Identify and tap into emerging trends and tools to maximize the reach and success of our content
Produce, edit, post, and optimize platform-native content for each channel
Drive channel optimizations, audience development, engagement, and growth for each platform
Utilize analytics and data to improve our content and influence the strategy for each platform
Content creationData analytics
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About Step
Step is transforming how teenagers and young adults manage their money by offering a mobile-first banking experience. They are on a mission to close the financial literacy gap, providing users with a free FDIC-insured bank account, a secured Visa spending card, and a peer-to-peer payment platform. With over 7 million customers, Step helps young people learn smart money habits, build positive credit history early, and navigate their financial journey with confidence. They aim to empower a better financial future for the next generation, offering tools to become smarter with money and rewarding them along the financial journey.
How We Work
Step operates with a focus on empowering its employees and fostering a collaborative environment. They value transparency and open communication. The company supports remote work, with the Senior Machine Learning Engineer position explicitly offered remotely within the U.S. or from their Palo Alto office. For remote teams, Step emphasizes clear values, open communication, and work-life balance to ensure all employees feel connected and valued.
Engineering at Step
Engineers at Step solve complex problems in financial technology, designing, developing, and deploying machine learning models to enhance risk and fraud detection systems. This critical work protects both the company and its users from financial loss. The technical team utilizes SQL for efficient data manipulation and develops production-grade code for robust machine learning solutions. They also apply statistical methods to guide experiments and evaluate model performance.
Why Join Us
Make a direct impact on the financial literacy and independence of the next generation.
Contribute to a rapidly growing company that has already secured significant funding and serves millions of users.
Work on challenging problems in fraud and risk using cutting-edge machine learning technologies.
Thrive in a supportive environment with opportunities for professional growth and a flexible work-from-home policy.
Benefits & Perks
Competitive salary and full medical and dental benefits.