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This listing was closed on Jul 28, 2026.
Browse Open JobsSenior Machine Learning Engineer (Computer Vision)
Summary by AIEngineer.careers
Senior Machine Learning Engineer (Computer Vision) is a Computer Vision Engineer role (full-time). with Asana. in REMOTE, WORLDWIDE. Imported listing (source: jobspawn.liveblog365.com). Apply on the employer's site (jobspawn.liveblog365.com).
Imported listing (source: jobspawn.liveblog365.com) · Apply on jobspawn.liveblog365.com
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobspawn.liveblog365.com
As a Senior Machine Learning Engineer in Computer Vision, you will design and deploy advanced vision systems for global clients. You'll work with deep learning, data pipelines, and production infrastructure, owning models end-to-end. The role requires expertise in TensorFlow/PyTorch, object detection, and image segmentation.
Responsibilities
- Develop and fine-tune models for image classification, object detection, segmentation, and generative modeling using TensorFlow, PyTorch, or Keras. Implement image preprocessing techniques. Optimize and deploy models on cloud platforms and edge devices. Use CI/CD and MLOps for reliable deployment. Improve model speed with quantization and pruning.
Requirements
- +5 years experience, strong Python, proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras), expertise in image classification, object detection, segmentation (ResNet, YOLO, U-Net, etc.), experience with OpenCV and torchvision, transfer learning, deployment on cloud and GPUs/TPUs, familiarity with MLOps.
Nice to Have
- Experience with generative modeling, familiarity with edge device deployment.
Benefits
Asana
San Francisco · US · 1936+ employees
Asana is a work management platform designed to help teams orchestrate and manage their work, processes, and goals. It integrates human collaboration with AI-powered features to provide clarity, accountability, and organizational alignment.
