Computer Vision Engineer

Augmodo

United States

On-site

USD 155,000 - 210,000

Full time

2 days ago
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Job summary

Augmodo is seeking a Computer Vision Engineer to advance localization, mapping, and detection through state-of-the-art algorithms and scalable pipelines. You will work on robust systems that process large image datasets and integrate with hardware teams.

You should have 3+ years in production CV, strong Python, C++, and experience with PyTorch, TensorFlow, and OpenCV. A Bachelor's or Master's in CS/Robotics is preferred, with visa/work authorization in the US.

Qualifications

  • Expertise in Computer Vision, Deep Learning and ML algorithms.
  • Strong programming skills in Python; ideally also C++.
  • Proficiency in ML frameworks (PyTorch, TensorFlow) and CV libraries (OpenCV).
  • Excellent problem-solving and analytical skills.

Responsibilities

  • Design, implement, and optimize algorithms for computer vision and ML.
  • Develop and maintain robust, scalable systems for processing large-scale CV data.
  • Contribute to development of novel CV techniques for video and image recognition.
  • Collaborate with hardware engineers to integrate and optimize CV pipelines.

Skills

Computer Vision
Deep Learning
ML algorithms
Python
C++
Teamwork and communication
Problem solving

Education

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

Tools

PyTorch
TensorFlow
OpenCV

Job description

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.

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