Remote | Full-Time | Senior Level | Engineering TeamAbout ScholarshipOwlScholarshipOwl is the largest scholarship marketplace in the U.S., connecting over 11 million Gen Z students with private scholarships — and the brands that power them. Our mission is to make education financing more accessible and engaging, while giving brands a consent-driven way to connect with the next generation.We’re powered by AI technology that simplifies scholarship discovery, streamlines the application process, and delivers measurable results for both students and partners. Whether it’s helping students secure funding or enabling brands to run impactful campaigns, we’re reshaping how education is funded — and discovered.The RoleWe’re looking for a hands-on and strategic AI Team Lead to drive the growth of our AI/ML capabilities. You’ll lead a small, high-impact team focused on building intelligent systems that power everything from personalized scholarship recommendations to AI-enhanced content and search.You’ll have the opportunity to own the technical roadmap, guide the development of ML pipelines, and explore cutting-edge solutions in LLMs, RAG, Recommender Systems, and Computer Vision. If you're excited about building AI that makes a real-world difference — and mentoring engineers in a fast-paced startup environment — this is the role for you.What You’ll DoLead and mentor a remote-first team of Machine Learning EngineersArchitect, develop, and deploy scalable machine learning solutions in productionDefine our AI strategy across use cases like LLMs, search, recommendations, and CVEnsure high-quality delivery and best practices across ML lifecycle (data → model → monitoring)Collaborate with product, engineering, and sales teams to align AI with company goalsStay up to date with the latest research and bring innovative approaches to our stackBalance technical hands-on work with leadership, mentorship, and strategic planningOur StackWe don’t believe in one-size-fits-all, but here’s what we’re currently using:Languages & Frameworks: Python, PyTorch, TensorFlow, Transformers, Scikit-learn, Numpy, PandasML Ecosystem: HuggingFace, MLflow, Langchain, LLamaIndexData & Infra: AWS, Azure, SQL, Vector DBs (Pinecone, Qdrant, Weaviate)Workflow & DevOps: Docker, GitHub, CI/CD pipelines, basic MLOps toolsWhat We’re Looking For2+ years in machine learning engineeringPrevious experience as an ML Engineer within an application company, understanding the nuances of integrating ML into end-user products.Strong experience with deep learning, ML pipelines, and production deploymentsHands-on background in one or more of the following:LLMs / RAG systemsComputer VisionRecommendation EnginesSolid understanding of SQL and distributed system fundamentalsFamiliarity with MLOps and cloud-native tools (AWS, Azure, or GCP)Clear communicator who thrives in async-first, remote collaborationCurious, proactive, and pragmatic — you know when to experiment and when to shipWhy Join ScholarshipOwl?Mission-Driven Work – Build technology that helps students unlock education opportunitiesFully Remote – Work from anywhere while collaborating with a global teamHigh Impact & Ownership – Small team, big challenges, real autonomyUnlimited PTO – Take time when you need it, we trust youHome Office Budget – $200/month to invest in your ideal remote workspaceContinuous Learning Culture – We support curiosity, experimentation, and growthAnnual Company Offsites – Meet your teammates in person and connect beyond the screenReady to lead and build something meaningful?Apply now and help us shape the future of AI-powered education.