[Hiring] ML Infrastructure Engineer @Augmodo

Augmodo; Deutschland; Remote; EUR 132.000 - 181.000; Vollzeit

Zusammenfassung

A leading technology company is seeking a remote ML Infrastructure Engineer. You will design and manage data infrastructure, build processing systems, and optimize ML performance. Ideal candidates have 5+ years experience, strong Python skills, and a relevant degree. The position offers a competitive salary ranging from $155,000 to $210,000 along with equity.

Qualifikationen

• 5 years of experience in production-grade ML systems and data pipelines.
• Strong programming skills in Python and familiarity with Java/Scala/Go/Rust/C++.

Aufgaben

• Build real-time, scalable and reliable video and image processing systems.
• Develop and manage petabyte-scale data infrastructure and systems.

Kenntnisse

Expertise in large scale, real-time data pipelines

Strong programming skills in Python

Excellent problem-solving skills

Strong communication skills

5 years of experience in production-grade ML systems

Ausbildung

Bachelor in Computer Science or related field

Tools

PyTorch

TensorFlow

OpenCV

Jobbeschreibung

Aug 12, 2025 - Augmodo is hiring a remote ML Infrastructure Engineer. Salary: $155,000 - $210,000 usd + equity. Location: USA, UK.

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.