Loft
Space
HeadofAIEngineering
“Head of AI Engineering at Loft. Skills: AI Engineering, ML/AI systems, production ML systems, ML infrastructure, model serving, deployment pipelines. owning the technical strategy and execution of the AI Marketplace and Loft Labs ML tooling. defining what gets built and how”
What You'll Achieve.
shipping production ML systems; AI Marketplace; Loft Labs ML tooling; AI services deployed on the platform; AI services engineers; end-to-end solutions on the marketplace; ML model deployment; inference pipelines; edge compute; third-party AI models into the platform; sandbox, testing, and certification pipeline for AI services; tasking interfaces; orchestration; regulatory compliance layer
Industry & Context.
What They're Looking For.
Must Have
7-15 years of hands-on engineering experience, meaningful time building ML/AI systems, Track record of shipping production ML systems, Experience building and managing engineering teams (3-10 people), Comfortable across the stack: model optimization, API design, infrastructure, and team leadership
Nice to Have
Experience with edge compute, embedded ML, or on-device inference (NVIDIA Jetson, TensorRT, ONNX), Background in space, defense, or geospatial systems, Familiarity with satellite operations, Earth observation data, or RF signal processing
What You'll Do.
owning the technical strategy and execution of the AI Marketplace and Loft Labs ML tooling
defining what gets built and how
bridging the gap between research and production
setting the technical standard for every AI service deployed on the platform
Define and own the technical roadmap for the AI Marketplace and all AI services
Bridge Loft Labs research outputs and production-grade service delivery
Hire and lead a team of AI services engineers
setting architecture standards for ML model deployment
and certification pipeline for AI services
How You'll Work.
Team & Collaboration
work closely with Loft’s broader engineering, Solutions, and Architecture (CTO platform) teams; ensure seamless integration of AI services with Cockpit, Loft’s satellite operations platform, and the partner ecosystem; establishing clear boundaries between marketplace and ML-specific capabilities owned by the AI team and those developed by existing platform teams; Collaborate closely with the rest of engineering; Work with partners; Collaborate with Cockpit and ground software teams
Communication Scope
Direct, low-ego communication; explain your reasoning; change your mind when evidence warrants it
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