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Maneva

AI-driven digital workforce for manufacturing operations

AI Engineer

Computer VisionPosted on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of experience building and shipping machine-learning systems, focused on computer vision; a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • Hands-on experience with object detection and segmentation, including training, tuning, and production deployment of YOLO-family and DETR-style models.
  • Hands-on experience with vision-language models, including fine-tuning, prompting, grounding, and evaluation.
  • Experience with vision-language-action or embodied and robot-learning models, or a clear record in adjacent multimodal work.
  • Strong PyTorch skills and fluency with distributed training, mixed precision, and GPU profiling.
  • A track record of taking models from research to production, including model optimization, inference serving, monitoring, and iteration on real-world failures.
  • Evidence of staff-level impact, including setting direction across teams, making sound build-versus-adopt decisions, and raising the bar for others.

Responsibilities

  • Define the technical strategy and architecture for vision models across detection, vision-language model, and vision-language-action workloads.
  • Train, fine-tune, and adapt models on proprietary data, including YOLO variants, open vision-language models, vision-language-action policies, distillation, quantization, and LoRA-style adaptation.
  • Build data engines, including labeling pipelines, foundation-model-assisted auto-labeling, active learning, and synthetic or simulated data.
  • Design evaluation through 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, using TensorRT, ONNX, Jetson, or similar tools.
  • Lead cross-team technical projects, write design documents, review code and models, and mentor senior and mid-level engineers.
  • Track research developments, decide what is worth adopting, and turn it into prototypes and products.

Desired Qualifications

  • Publications or open-source contributions in vision or multimodal learning.
  • Experience with video understanding, 3D perception, or multi-sensor fusion.
  • Experience with simulation, sim-to-real transfer, or reinforcement and imitation learning.
  • Edge and embedded deployment experience, including TensorRT, CUDA, and quantization-aware training.
  • Experience with LLM tooling such as vLLM, or with RLHF-style post-training for multimodal models.

About the Company

Maneva

AI-driven digital workforce for manufacturing operations

Maneva AI provides an AI-driven digital workforce for the manufacturing sector. It offers a software-as-a-service platform that automates a range of factory tasks, including those traditionally too complex for standard automation, with the aim of reducing manual labor, improving quality assurance, and minimizing operational downtime. The system integrates into existing workflows to streamline factory operations, lower costs, and boost productivity for manufacturers in the United States. Its differentiators include targeting manufacturing-specific challenges, focusing on rapid integration and clear return-on-investment, and delivering an AI-based solution that handles higher-complexity tasks beyond basic automation. The company’s goal is to help manufacturers reduce labor dependency, optimize processes, and achieve meaningful cost savings and productivity gains through industrial AI.

Company size
51-200
Company stage
Series A
Total funding
$37M
Headquarters
Toronto, Canada
Founded
2021

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