On-Site Robotics CV & AI Engineer – Real-Time Perception

Brahma Consulting Group

San Francisco (CA)

Presencial

USD 130 000 - 210 000

Tempo integral

Há 5 dias
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Brahma Consulting Group is seeking a hands-on Computer Vision AI & ML Engineer to design, train, and deploy perception systems behind our general-purpose robotic foundation model. You will own the full ML lifecycle—from architecture design and data ingestion to model optimization and deployment on real robots performing real-time multi-modal perception.

In this role you will develop core perception models, build production pipelines, and collaborate with robotics, hardware, and simulation teams

Qualificações

  • Hands-on AI/ML engineer with 3–10 years in CV/AI.
  • BS or MS in CS/Robotics/EE or related field.
  • Strong background in 3D scene understanding, depth estimation, detection, segmentation, and tracking.
  • Proficiency with PyTorch, TensorFlow, or JAX.
  • High proficiency in Python; deployment knowledge in C++.

Responsabilidades

  • Develop core perception models for depth estimation, 3D object detection, segmentation, tracking.
  • Build production pipelines for data processing, training, evaluation, and deployment.
  • Design tooling for synthetic data generation, labeling, QA, dataset management, and augmentation.
  • Implement monitoring, failure detection, and uncertainty estimation frameworks.
  • Collaborate with robotics, hardware, systems, and simulation teams to productionize research.

Conhecimentos

Python
C++
PyTorch
TensorFlow
JAX
3D Scene Understanding
Depth Estimation
Object Detection
Segmentation
Tracking
ML Pipelines
Sensor Fusion

Formação académica

BS or MS in CS/Robotics/EE

Ferramentas

Isaac Sim
Gazebo
Blender

Descrição da oferta de emprego

Brahma Consulting Group is seeking a hands-on Computer Vision AI & ML Engineer to design, train, and deploy perception systems behind our general-purpose robotic foundation model. You will own the full ML lifecycle—from architecture design and data ingestion to model optimization and deployment on real robots performing real-time multi-modal perception.

In this role you will develop core perception models, build production pipelines, and collaborate with robotics, hardware, and simulation teams

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