AI Applied Scientist [Remote]

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

We are looking for an Applied AI Scientist (Generative AI) who is passionate about exploring and applying the latest advances in AI to create impactful products, capabilities, and experiences.

This is a hands-on role that combines experimentation, application development, and technical innovation. You will work with frontier AI technologies, explore emerging techniques, and transform promising ideas into practical AI-powered solutions.

The ideal candidate is curious, adaptable, and excited by the rapidly evolving AI landscape. You enjoy building, learning, and experimenting with new technologies while maintaining a strong focus on delivering meaningful outcomes.

• Explore emerging Generative AI technologies, models, frameworks, and tools, and apply relevant innovations to practical AI-powered solutions.
• Design and develop applications, workflows, agents, and intelligent systems.
• Build and evolve AI-powered solutions from concept to production.
• Improve the quality, reliability, and effectiveness of AI-powered solutions through testing, iteration, and continuous improvement.
• Collaborate with scientists, engineers, and product teams to develop and deliver AI-powered capabilities.
• Help build reliable, high-quality, and responsible AI solutions.

• Passionate about Generative AI and emerging AI technologies.
• Hands-on experience building applications using modern AI models, platforms, and tools.
• Familiarity with modern Generative AI concepts such as retrieval-augmented generation (RAG), agentic workflows, tool use, model evaluation, or AI orchestration patterns.
• Strong technical judgment, software development, and problem-solving skills.
• Able to independently drive projects from idea to implementation.
• Curious, adaptable, and committed to continuous learning.
• Strong communication skills and ability to collaborate effectively with diverse teams.

• Experience developing AI-powered products or capabilities in production environments.
• Experience with machine learning, data science, experimentation, or other analytical techniques.
• Experience contributing to open-source projects, technical communities, hackathons, research initiatives, or personal AI projects.
• Experience working with large-scale data, analytics, or complex systems.

• Screening Call
• Take-Home Assessment
• Hiring Manager Interview