AI Summary
Lead and mentor a remote-first team of Machine Learning Engineers to drive the growth of AI/ML capabilities. Develop and deploy scalable machine learning solutions in production. Collaborate with product, engineering, and sales teams to align AI with company goals.
Key Highlights
Lead a remote-first team of Machine Learning Engineers
Develop and deploy scalable machine learning solutions
Collaborate with product, engineering, and sales teams
Key Responsibilities
Lead and mentor a remote-first team of Machine Learning Engineers
Architect, develop, and deploy scalable machine learning solutions in production
Collaborate with product, engineering, and sales teams to align AI with company goals
Technical Skills Required
Benefits & Perks
Fully Remote
Mission-Driven Work
High Impact & Ownership
Unlimited PTO
Home Office Budget
Continuous Learning Culture
Annual Company Off-sites
Nice to Have
LLMs / RAG systems
Computer Vision
Recommendation Engines
Job Description
Remote | Full-Time | Senior Level | Engineering Team
About ScholarshipOwl
ScholarshipOwl is the largest scholarship marketplace in the US, using AI to connect 12 million students who are looking for scholarships with companies that are looking for students. Our mission is to make education financing more accessible and engaging, while giving brands a 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
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
We 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, Pandas
- ML Ecosystem: HuggingFace, MLflow, Langchain, LLamaIndex
- Vector BDs: Strong preferences for BigQuery and Pinecone
- Cloud Platform: Google Cloud (GCP)
- Workflow & DevOps: Docker, GitLab, CI/CD pipelines, basic MLOps tools
- 2+ years in machine learning engineering
- Previous 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 deployments
- Hands-on background in one or more of the following:
- LLMs / RAG systems
- Computer Vision
- Recommendation Engines
- Solid understanding of SQL and distributed system fundamentals
- Familiarity with MLOps and cloud-native tools (AWS, Azure, or GCP)
- Clear communicator who thrives in async-first, remote collaboration
- Curious, proactive, and pragmatic — you know when to experiment and when to ship
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Mission-Driven Work – Build technology that helps students unlock education opportunities
- Fully Remote – Work from anywhere while collaborating with a global team
- High Impact & Ownership – Small team, big challenges, real autonomy
- Unlimited PTO – Take time when you need it, we trust you
- Home Office Budget – $200/month to invest in your ideal remote workspace
- Continuous Learning Culture – We support curiosity, experimentation, and growth
- Annual Company Off-sites – Meet your teammates in person and connect beyond the screen
Apply now and help us shape the future of AI-powered education.
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