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Loopr AI · 18 hours ago

Principal Computer Vision ML Engineer

Redmond, WA

Full-time

Hybrid

Senior Level, Lead/Staff

7+ years exp

Loopr AI is revolutionizing the manufacturing industry with its visual inspection AI solution for quality assurance. The Principal Computer Vision ML Engineer will lead the implementation and development of computer vision algorithms to solve complex vision problems in manufacturing and aerospace industries.

Artificial Intelligence (AI)Enterprise SoftwareInformation TechnologySoftware

No H1B

U.S. Citizen Only

Hiring Manager

Eric Jewett

Responsibilities

Design and train deep learning models for object detection, image segmentation, and image classification tasks

Collaborate with cross-functional teams to understand project requirements and provide technical expertise in computer vision

Use Azure & ML Flow services to orchestrate complex computer vision pipelines and workflows for large-scale data processing and to track, manage, and reproduce experiments and models, ensuring reproducibility and scalability

Integrate computer vision models into production application using Python libraries and other relevant technologies

Optimize computer vision models for performance, efficiency, and accuracy on various hardware platforms, including server and edge deployments

Stay up to date with the latest advancements in computer vision and machine learning research to enhance the company's capabilities

Collaborate with clients and stakeholders to understand their needs, propose solutions, and deliver results that meet their requirements

Qualification

Computer VisionDeep LearningPythonAzureImage ProcessingProduction ML SystemsContainerizationProblem-SolvingCommunicationCollaboration

Required

US citizenship or permanent residency to handle government data

Ability to work in Seattle office several days a week

Bachelor's, Master's, or PhD in Computer Science, Informatics, Physics, or a related field

7+ years of proven experience in computer vision, deep learning, and image processing, with a strong portfolio of projects

High level of Python proficiency, experience with relevant computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and proficiency with Linux/bash

Experience building, deploying, and maintaining production ML systems

Experience with cloud platforms, especially Azure, for deploying and scaling computer vision models

Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models

Strong problem-solving skills and the ability to work on challenging computer vision tasks, while ensuring the right tools are used for the given task

Independent and self-driven with the ability to bring crazy ideas and innovation to the company, not just technical skills

Excellent communication skills and the ability to collaborate effectively with cross-functional teams and clients