AI Team Lead

🕒 May 13

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ScholarshipOwl

WebsiteLinkedInAll Job Openings

11 - 50 employees

📚 Education

☁️ SaaS

👥 B2C

💰 $470k Convertible Note on 2014-10

Education • SaaS • B2C

ScholarshipOwl is a comprehensive platform designed to simplify the scholarship application process for students. It offers a one-stop service for finding, vetting, and applying to scholarships by matching students with opportunities that suit their profiles and preferences. Using advanced AI technology, ScholarshipOwl generates personalized scholarship recommendations and allows users to track all stages of their applications from search to submission, all within the platform. The service is trusted by millions, facilitating efficient scholarship searches and application management, thus increasing the chance of students funding their education.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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 • Coworking Budget – $200/month to invest in your ideal coworking workspace • Continuous Learning Culture – We support curiosity, experimentation, and growth • Annual Company Off-sites – Meet your teammates in person and connect beyond the screen