Senior ML Engineer
Virtual Vocations Inc
Owning the offline dataset pipeline, the full-time Senior ML Engineer will design, implement, test, and deploy cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets while working remotely. Key responsibilities Design and implement offline dataset pipelines for converting multi-sensor data into training datasets Develop VLM-assisted auto-labeling techniques using foundation models to enhance annotation processes Generate reasoning-grounded labels to support VLA training and explainable driving behavior Required qualifications Bachelor's or Master's Degree in Computer Science, Robotics, Electrical Engineering, or a related field 6+ years of experience in Computer Vision & Deep Learning, including 2D/3D Object Detection and Semantic Segmentation Hands-on experience with multimodal/VLM models and data curation for model performance improvement Proficiency in distributed ML frameworks such as PyTorch, Lightning, or Spark Strong Python software development skills and familiarity with cloud-based development environments
Vacancy posted 4 days ago
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