Offer summary

Qualifications:

Strong background in AI and machine learning, with expertise in LLMs, RAG, Recommender Systems, and Computer Vision., Proven experience in leading and mentoring remote engineering teams., Solid understanding of building and deploying scalable ML solutions in production environments., Educational background in computer science, engineering, or related fields is preferred..

Key responsibilities:

Lead and mentor a remote team of Machine Learning Engineers.

Architect, develop, and deploy scalable ML solutions in production.

Define and execute the AI strategy across various use cases like LLMs, search, and recommendations.

Collaborate with cross-functional teams to align AI initiatives with company goals.

Job description

Remote | Full-Time | Senior Level | Engineering Team

About ScholarshipOwl

ScholarshipOwl 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 Role

We’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 Do

Lead and mentor a remote-first team of Machine Learning Engineers
Architect, develop, and deploy scalable machine learning solutions in production
Define our AI strategy across use cases like LLMs, search, recommendations, and CV
Ensure high-quality delivery and best practices across ML lifecycle (data → model → monitoring)
Collaborate with product, engineering, and sales teams to align AI with company goals
Stay up to date with the latest research and bring innovative approaches to our stack
Balance technical hands-on work with leadership, mentorship, and strategic planning

Required profile