Computer Vision Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
155K-210K Annually
Mid level
Information Technology
Building Spatial AI for commerce. Tracking every product in every store realtime using passive associate Smartbadges.
The Role
Develop and optimize computer vision and machine learning algorithms for localization, mapping, detection, video processing, and image recognition. Build scalable systems for large image datasets, collaborate with hardware engineers, and integrate real-time pipelines on embedded or robotic platforms. The role requires production-level computer vision experience and strong Python programming, with C++ preferred.
Summary Generated by Built In

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a Computer Vision Engineer, you will play a key role in our computer vision team in deploying and developing state-of-the-art algorithms and pipelines for localization, mapping, and detection.

Roles & Responsibilities

  • Design, implement, and optimize algorithms for computer vision and machine learning.

  • Develop and maintain robust and scalable systems for processing large-scale computer vision systems and image datasets.

  • Contribute to the development of novel computer vision techniques for video processing and image recognition.

  • Collaborate with hardware engineers to integrate and optimize computer vision pipeline.

Experience & Qualifications

  • Expertise in Computer Vision, Deep Learning and ML algorithms and techniques.

  • Strong programming skills in Python; ideally also C++.

  • Proficiency in machine learning frameworks (e.g. PyTorch, TensorFlow) and computer vision libraries (e.g. OpenCV).

  • Excellent problem-solving and analytical skills.

  • Strong communication and teamwork skills.

  • 3+ years of experience in production-level computer vision systems.

  • Bachelor's or Master's in Computer Science, Robotics, or a related field.

Preferred Skills

  • Ph.D. in Computer Science, Robotics, or a related field.

  • 5+ years of experience in production-grade computer vision systems.

  • Experience deploying real-time systems on embedded or robotic platforms.

$155,000 - $210,000 USD + Equity

Additional Information

At this time, we are unable to provide work authorization or visa sponsorship. To be considered for a role at Augmodo, you must be currently authorized to work in the USA, Canada, or the UK without the need for sponsorship now or in the future.

Augmodo provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Augmodo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company hires. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

Augmodo expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Augmodo's employees to perform their job duties may result in discipline up to and including discharge.

Skills Required

  • Expertise in computer vision, deep learning, and machine learning algorithms and techniques
  • Strong programming skills in Python
  • Proficiency in machine learning frameworks such as PyTorch or TensorFlow
  • Proficiency in computer vision libraries such as OpenCV
  • 3+ years of experience in production-level computer vision systems
  • Bachelor's or Master's degree in Computer Science, Robotics, or a related field
  • C++ programming experience
  • Ph.D. in Computer Science, Robotics, or a related field
  • 5+ years of experience in production-grade computer vision systems
  • Experience deploying real-time systems on embedded or robotic platforms
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork skills
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The Company
HQ: Seattle, Washington
33 Employees

What We Do

Spatial AI for commerce

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