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Jobs(38,923)/Machine Learning Engineer Role(466)/Playlab (6) - Learning Engineer [Lab Schools Focus]
Playlab

Playlab - Learning Engineer [Lab Schools Focus]

Remote - United States$27k - $27k+ Equity1mo ago
RemoteMidNANonprofitMachine Learning EngineerJunior EngineerCoachingDocumentation

Requirements

• You'll also bring insights from the field back to our team, shaping how we improve the platform, learning materials, and partnership models. • Experience supporting instructional technology or PD work across multiple classrooms or schools • Familiarity with knowledge-graph-grounded AI tools or agentic design patterns • Experience supporting both student- and adult-facing AI initiatives • Connections to school-design organizations, lab schools, or AI-in-education nonprofit • Are comfortable holding a primary anchor (the lab schools cohort) while flexing into adjacent work as the team's priorities evolve.s

Responsibilities

• Support 2 to 3 Lab Schools. Hold the relationship with each school's founding team across the 24-month partnership, with monthly leader check-ins, weekly build sessions, and on-call support through launch. • Partner With the Senior LE in Your Region. Work alongside the Senior Learning Engineer anchoring the cohort to deliver consistent technical support across your assigned schools and contribute to phase-by-phase programming. • Build Bespoke AI Tools alongside teachers and leaders, including custom assessment tools, lesson planners, student-facing builders, and family communication apps tuned to each school's pedagogy. • Contribute to the Open-Source Playbook. Document builds, capture patterns from your schools, and feed insights into the playbook that ships at month 24 for the field. • Run Coaching Sessions through drop-in office hours, async build support, and 1:1 video coaching with builders and leaders at your schools. • Co-Facilitate Quarterly Convenings. Three days every quarter for 24 months, supporting build sessions and hosting office hours alongside the broader Lab Schools team. • Grow Your Craft through regular practice with senior LEs, build reviews, and ongoing mentorship from the Head of Learning Engineering. • Contribute Beyond the Cohort as Needs Arise. Step into adjacent partnerships, cross-team initiatives, or new bets that benefit from LE craft. We'll set expectations together so the lab schools work always stays the anchor, while leaving room for the kind of flexibility a small, ambitious team requires. • Bring Field Insights Back to Playlab's product, engineering, and research teams to shape platform features and shared playbooks. • YOU MIGHT BE A FIT IF YOU... • Have 3+ years of classroom, instructional coaching, or school-based experience and a deep respect for how hard the work of teaching is. • Have a track record of shipping AI tools and a hunger to grow into more advanced patterns (multi-step flows, evaluator loops, knowledge grounding, agentic design). • Have experience supporting educators with patience and high standards in equal measure. • Have strong async and remote-first instincts, and can build trust over video and shared docs. • Are confident with prompting and AI app design, and understand how teachers and students actually use AI in real classrooms. • Have solid documentation craft (build logs, walkthroughs, recorded sessions) that helps others learn. • Care for equity and access at the center of the work. • Are willing to commit to the full 24-month cohort cadence, including four quarterly three-day convenings.

Benefits

• Real Impact: Your work directly supports how 13 lab schools use AI to redesign teaching and learning, and what the field learns from them. • Craft and Growth: Build alongside senior practitioners, contribute to the open-source playbook that opens to the field at month 24, and grow your own practice in a team that takes craft seriously. • Mission-Aligned Team: Join a small, passionate group committed to equity, creativity, and joyful learning, backed by the Gates Foundation, Google, CZI, and the Schwab Foundation. • Flexible Work: Remote-first with autonomy and a strong culture of collaboration. • Competitive Pay & Benefits: Includes salary, healthcare, retirement, generous time off, and opportunities for professional growth.

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