AI Engineer - US Remote

About Maneva

Maneva is building the Thinking Factory: a factory floor that sees, understands, and acts on its own. Our Vision-to-Action AI turns video from off-the-shelf cameras into real-time decisions, with no rip-and-replace of existing infrastructure. We work with mid-market and enterprise manufacturers to deliver end-to-end outcomes, not dashboards:

• Higher yields: catch defects and process drift as they happen, and cut scrap and downtime.
• Closed-loop integration: connect vision insights directly to MES, PLC, and other production systems so findings trigger action.
• Safer, compliant floors: detect safety and compliance risks continuously, instead of relying on periodic audits.

Founded in 2022, Maneva raised a $27M Series A led by U.S. Venture Partners in June 2026 to push the frontier of our vision models, expand factory orchestration, and bring Thinking Factories to new industries and geographies. The models you build here will run on real production lines, where accuracy, latency, and reliability decide outcomes.

What you'll do

• Define the technical strategy and architecture for vision models across detection, VLM, and VLA workloads.
• Train, fine-tune, and adapt models (YOLO variants, open VLMs, VLA policies) on proprietary data, including distillation, quantization, and LoRA-style adaptation.
• Build data engines: labeling pipelines, auto-labeling with foundation models, active learning, and synthetic or simulated data.
• Design rigorous evaluation: benchmarks, regression suites, failure-mode analysis, and online metrics tied to product outcomes.
• Ship models to production under latency, memory, and cost limits, on cloud GPUs and edge hardware (TensorRT, ONNX, Jetson or similar).
• Lead cross-team technical projects; write design docs; review code and models; mentor senior and mid-level engineers.
• Track the research frontier, decide what is worth adopting, and turn it into prototypes and product.