AI Video Generation Architect

🕒 vor 1 Monat

🏄 California – Remote

🏄 California – Remote

💵 $170.000 - $200.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 Künstliche Intelligenz

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Modern Classrooms Project

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

📚 Bildung

🤝 Non-Profit

🤝 B2B

Education • Non-profit • B2B

Das Modern Classrooms Project befähigt Lehrkräfte, die Bedürfnisse jedes Schülers durch einen gemischten, selbstgesteuerten und auf Meisterschaft basierenden Unterricht zu erfüllen. Wir führen eine Bewegung von Pädagogen an, die ein forschungsbasiertes Unterrichtsmodell implementieren, das Technologie nutzt, um die Effektivität der Lehrkräfte und das Verständnis der Lernenden zu verbessern.

Beschreibung

• Architect the video generation pipeline end to end. • Design the gen-AI pipeline that transforms lesson specifications into storyboards, scene graphs, scripts, and production plans. • Ship multiple substantial features per week. • Build the multi-agent production workflow. • Engineer the video generation pipeline. • Design programmatic motion to support worked examples with narration. • Run parallelized rendering with generative video models. • Build the ground-truth quality system. • Architect resilient, high-scale media infrastructure. • Raise the bar for the team.

🎯 Anforderungen

• You are AI-native. • You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex. • You are an expert at prompt engineering and context engineering. • You write Agent Skills the way other engineers write unit tests. • You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow. • You have built real backend AI orchestration layers that run when you're not watching. • You think in graphs — shared state flowing through nodes, conditional edges, interrupts, and circuit breakers. • You have shipped non-trivial agentic pipelines using LangGraph, Python, and TypeScript, or equivalent. • You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints. • You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts. • You are a programmatic media craftsperson. • You have deep experience with a programmatic animation framework (e.g. Manim, Remotion / Motion Canvas) and strong FFmpeg fundamentals: codecs, containers, color, audio streams, muxing. • You understand TTS model trade-offs, expressive direction with audio tags and SSML, pronunciation lexicons, forced alignment and word-level timestamps, and loudness standards. • You can hear when the pacing is wrong for a twelve-year-old learner, and you fix it in the pipeline, not the waveform. • You treat quality as a measurable system. • You build golden datasets and calibrated judges before you scale generation. • You combine deterministic checks (schemas, layout constraints, symbolic math verification, A/V sync) with LLM- and VLM-as-judge evaluation validated against human labels. • You catch the subtly wrong diagram, the mispronounced denominator, the worked example that's off by one — and the same eye applies to agent-generated code, which is plausible but not always right. • You do not ship what you cannot measure. • You are self-directed. • You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly. • You write clearly. • You own a problem end-to-end without waiting for a ticket to tell you what to do next. • You love to learn. • You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work. • You're also motivated by MCP's mission and vision, and eager to build teacher- and student-facing products. • You want to shape the world. • You're motivated to be part of something larger than yourself. • You believe that the highest value of your talent is using it to empower others. • You're ready to make a real difference in educators' and young people's lives. • You have experience building edtech products. • You have experience handling sensitive and/or confidential data, particularly in an education context (COPPA, CIPA, FERPA, PPRA, SOC 2).

🏖️ Vorteile

• Employer-sponsored health insurance through CareFirst BlueCross BlueShield • Employer-sponsored dental and vision insurance through MetLife • Participation in Vanguard 403(b) deferred-compensation plan with 3% employer match • Paid Time Off, inclusive of: vacation/PTO (20 days), paid holidays, paid parental leave, sick and safe paid time off, "Me Days", and the ability to earn paid Comp time off • Annual budget for MCP-funded Continuous Learning for the program(s) you request (available after 6 months of continuous full-time employment) • FSA and Dependent Care FSA access • 1x Salary Life Insurance company-paid coverage • Access to Wishbone Pet Insurance Benefit • Ability to work remotely and to set your own hours (within reason)