Engineering lead

About the Role

Lead engineering for an education technology platform that uses multimodal AI to analyze handwritten student work and help teachers understand where students are struggling. You will shape the technical roadmap and bring AI capabilities into production across additional subjects and grade levels.

What You'll Do

• Own and improve AI and machine learning systems spanning computer vision, natural language processing, and multimodal analysis.
• Take proof-of-concept applications for new subjects, including language arts and science, through to production.
• Strengthen evaluation datasets, model monitoring, and performance observability.
• Coordinate with external engineering contractors to set priorities, maintain alignment, and improve technical quality.
• Communicate technical plans and complex concepts to executive and other non-technical stakeholders.

What We're Looking For

• Four to eight years of experience in AI or machine learning development, including hands-on ownership of end-to-end products from proof of concept through deployment.
• Experience developing original models, creating datasets, and conducting independent experimentation, beyond API integrations alone.
• Experience managing engineering or technical professionals and external contractors or vendors.
• Experience deploying in-house models, running inference, and integrating large language models.
• Knowledge of Python, FastAPI or Django, cloud infrastructure such as AWS or Google Cloud, and MLOps tools such as Modal.
• Familiarity with tools including Hugging Face, vLLM, SGLang, Weights & Biases, Weave, Datadog, pytest, and Locust.
• Ability to explain technical roadmaps to non-technical leaders and partners, and to work US time zones.
• Education technology or other social impact sector experience is a plus.
• Must have work authorization in the country of residence. Visa sponsorship is not available.

Compensation & Benefits

Base salary range: $200,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

Remote within the United States.