ML Runtime Engineer

AI in this role

Wanna join the adventure? Loft's AI for Space group is building the stack that runs real machine learning in orbit; turning raw sensor data into decisions on the satellite itself, so insight reaches the customer in minutes instead of hours.
The AI Engineering team is where models meet the spacecraft. We own the full path from a partner's trained model to something that actually runs — fast — on flight hardware: compiling ONNX models into optimized engines for each accelerator, the Space Inference Engine and its execution providers, the SDK that packages models for flight, and the perf tooling that proves a model fits its power, thermal, and latency budget before it ever leaves the ground. As we open the platform to a growing roster of defense and Earth-observation partners, the team's scope and the range of silicon we target are expanding fast.

As our ML Runtime Engineer, you'll own model compilation and the performance tooling behind it. We're looking for someone scrappy — the kind of engineer who takes an unfamiliar model and an unforgiving power budget, digs into the graph, and gets it running on real hardware without waiting for the path to be handed to them. You'll move between model compilation, runtime internals, quantization, and hardware-in-the-loop CI, sometimes in the same afternoon.

How we score this

ML Runtime Engineer at Loft Orbital scores 89 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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