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3 дня назад

Computer Vision AI & ML Engineer (Robotics)

Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Computer Vision AI & ML Engineer (Robotics): Designing and deploying perception systems for real-world robotics and automation with an accent on deep learning, multi-modal sensor data, and 3D scene understanding. Focus on building scalable training and deployment pipelines, detecting model failures, and integrating perception systems into real-time production environments.

Location: San Mateo, CA, United States

Company

hirify.global is building general-purpose robotic intelligence that adapts to unseen scenarios through data-driven machine learning.

What you will do

  • Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding.
  • Build scalable pipelines for data processing, model training, evaluation, and deployment in real-time systems.
  • Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
  • Implement monitoring and reliability frameworks for uncertainty estimation, failure detection, and automated performance reporting.
  • Run proof-of-concept experiments and translate research findings into practical perception prototypes.
  • Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines.

Requirements

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Background in computer vision tasks including detection, depth estimation, segmentation, tracking, or 3D scene understanding.
  • Proficiency in Python.
  • Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
  • Knowledge of 3D geometry, sensor processing, or multi-sensor fusion using RGB-D, LiDAR, or stereo data.
  • Experience with data annotation tools, dataset management, and augmentation techniques.

Nice to have

  • Familiarity with C++.
  • Experience with robotics, simulation environments such as Isaac Sim, Gazebo, or Blender, or real-time systems.
  • Understanding of uncertainty modeling, reliability engineering, or ML monitoring and MLOps practices.

Culture & Benefits

  • Work spans applied research, hands-on engineering, architecture, and roadmap decisions.
  • Collaboration with robotics, systems, and simulation specialists.
  • Opportunities to contribute to innovative robotics and automation projects.

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