ML Infrastructure Engineer
Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a ML Infrastructure Engineer, you will play a key role in our computer vision and infrastructure teams to develop large-scale, real time systems and pipelines handling petabytes of video, image and analytics data. You will partner with both cloud and edge/store engineers to scale and optimize ML CI/CD development for ultimately tens of thousands of stores worldwide.
Roles & Responsibilities
Build real-time, scalable and reliable video and image processing systems and pipelines
Develop and manage petabyte-scale data infrastructure and systems
Design and develop APIs to automate ML development lifecycle from training, testing to deployment
Identify and optimize system performance, including for ML inference and deployment on both cloud and real-time edge systems.
Experience & Qualifications
Expertise in large scale, real-time data pipelines, infrastructure and distributed systems
Strong programming skills in Python and one of Java/Scala/Go/Rust/C++.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.
5 years of experience in production-grade ML systems and data pipelines
Bachelor in Computer Science, Robotics, or a related field.
Preferred Skills
Master's degree or PhD in Computer Science or a related technical field
Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV).
Experience in large scale Computer Vision and deep-learning ML development
$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.
Apply Now
Roles & Responsibilities
Build real-time, scalable and reliable video and image processing systems and pipelines
Develop and manage petabyte-scale data infrastructure and systems
Design and develop APIs to automate ML development lifecycle from training, testing to deployment
Identify and optimize system performance, including for ML inference and deployment on both cloud and real-time edge systems.
Experience & Qualifications
Expertise in large scale, real-time data pipelines, infrastructure and distributed systems
Strong programming skills in Python and one of Java/Scala/Go/Rust/C++.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.
5 years of experience in production-grade ML systems and data pipelines
Bachelor in Computer Science, Robotics, or a related field.
Preferred Skills
Master's degree or PhD in Computer Science or a related technical field
Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g., OpenCV).
Experience in large scale Computer Vision and deep-learning ML development
$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.
Apply Now