Fast Facts

MagicSchool is seeking a GenAI Engineer to optimize AI models that support educators with tasks like lesson planning and content generation, joining a rapidly growing team dedicated to enhancing the teaching experience.

Responsibilities: Key responsibilities include evaluating AI models for accuracy and bias, creating customizable AI solutions for educators, and deploying innovative features to improve product efficiency.

Skills: Candidates should have hands-on experience with large language models (LLMs), API integration, and developing creative AI-driven solutions that enhance productivity for teachers.

Qualifications: Preferred candidates will have 7+ years of engineering experience with at least 2 years focused on generative AI technologies and a proven track record in delivering impactful AI projects.

Location: This position is located in the USA with no additional travel requirements.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $120,000 - $180,000.

WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over a year old, and more than 3.5M teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.

GenAI Engineer

Role Description: As a GenAI engineer at MagicSchool.ai, you will optimize AI models that power tools designed to ease the workload of educators, helping them automate tasks like lesson planning and content generation. Your expertise in deploying LLMs and building custom agents will drive the creation of AI systems that support teachers, making the platform even more efficient and adaptable to classroom needs.

This role is not ML/data science focused, and you will not be building your own LLMs.

Responsibilities:

In this role, you will be responsible for:

Evaluate AI Models: Build automated frameworks to assess our tools for accuracy, efficiency, and bias, ensuring that AI outputs remain equitable and reliable. Focus on refining model evaluations to support a diverse range of educational needs.
Customizable AI Solutions: Create scalable and flexible AI solutions that allow teachers and districts to customize tools for their specific classroom contexts, increasing the adoption rate of MagicSchool's platform across districts by 15%.
Innovative AI Deployments: Continuously evaluate emerging GenAI tools, deploying relevant new features to improve our product. Prototype and test applications that enhance educators' productivity and align with our mission.

Qualifications/Competencies/Skills:

To be successful in this role, you bring:

Proficiency in GenAI Technologies: Deep hands-on experience with large language models (LLMs), including understanding how to fine-tune and deploy them. Familiarity with advanced AI tools like retrieval-augmented generation (RAG), function calling, embeddings, and agents to choose and implement the right technologies for specific educational use cases.
API and Model Integration: Expertise in integrating pre-built AI models and APIs into existing platforms, optimizing their functionality for tools used by educators, such as lesson planners and assessment generators.
Problem-Solving and Innovation: Strong ability to develop creative AI-driven solutions to streamline teacher workflows, from automating lesson creation to grading, focusing on delivering practical outcomes that enhance productivity and ease of use for educators.
Data Engineering and Analytics: Proficiency in handling and processing data to train and evaluate AI models, ensuring continuous improvement of the tools through data-driven insights and optimization.
Collaboration and Communication: Ability to collaborate effectively with product teams, educators, and other engineers to align AI developments with real-world classroom needs. Strong communication skills to clearly convey technical concepts to non-technical stakeholders.

Experience:

7+ years of experience as an engineer
Hands-on Experience with AI/ML Models: At least 2 years of working with large language models (LLMs) and generative AI technologies, including fine-tuning and deploying these models for specific use cases. Experience working with tools like OpenAI’s GPT, Claude, Hugging Face, or other similar platforms for integrating and customizing AI models would be essential.
API Integration and Deployment: Experience integrating AI/ML models into existing software platforms using APIs. Familiarity with platforms like Google Cloud AI, AWS AI services, or similar tools is critical, as the role requires seamless integration of pre-built models.
Project-Based Work: Proven track record of delivering AI-powered projects or tools from conception to deployment, with measurable impact. Experience with side projects involving AI agents, chatbots, or data-driven applications showcasing initiative and creativity.

Notice: Priority Deadline and Review Start Date

Please note that applications for this position will be accepted until 11/11/24 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.

Our Benefits: We are proud to offer generous benefits, such as unlimited PTO, 100% employer covered health insurance, a wellness stipend, and vision/dental insurance.

Our Values:

Educators are Magic: Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.
Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.
Community: Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.
Innovation: The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.
Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.
Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.
Excellence: Educators and students deserve the best - and we strive for the highest quality in everything we do.

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