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We are seeking a highly skilled and motivated ML Engineer to join our Machine Learning team. You will play a key role in leading the implementation and development of computer vision algorithms and techniques to solves complex vision problems of our customers in the manufacturing and aerospace industries. You will also play a key role in guiding the product roadmap of the company with innovation to help create other powerful solutions and greater efficiency.
Job Responsibility:
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
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
Stay up to date with the latest advancements in computer vision and machine learning research
Collaborate with clients and stakeholders to understand their needs, propose solutions, and deliver results
Have end to end design, development and delivery ownership of key components
Play a key role in guiding the product roadmap of the company with innovation
Requirements:
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
Experience in manufacturing or manufacturing adjacent industries is preferred
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
Independent and self-driven with the ability to bring crazy ideas and innovation to the company
Excellent communication skills and the ability to collaborate effectively with cross-functional teams and clients
This role requires candidates to have existing US Citizenship or Permanent Residence (Green Card)