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WOW Remote Teams Himalayas · Posted yesterday

AI Engineer - Classifiers, Media Intelligence & Voice R&D

USD Full time Remote

AI Engineering Machine Learning Engineering Computer Vision Engineering Voice AI Engineering
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Indexed description

This is a remote position.

Our client is looking for an innovative and driven AI Engineer to join their team. A leader in media intelligence and AI-driven content creation, they have recently expanded their work in AI voice and image technologies, driving the development of the next generation of cutting-edge products. This role will focus on the creation, classification, and organization of massive volumes of AI-generated media, along with spearheading R&D into AI voice and audio generation and advanced image intelligence capabilities.

Job Description

Responsibilities:

  • Design, train, and deploy classification models for content pipeline, including style detection, quality scoring, content moderation, filtering, and semantic categorization of generated media.
  • Develop and maintain automated tagging and organization systems for the media library: extracting attributes, detecting visual features, clustering similar content, and enabling intelligent search.
  • Build and optimize training data pipelines: create annotation tooling, curate datasets, establish active learning loops, and ensure high-quality labeled data.
  • Lead R&D into AI voice and audio generation, including voice cloning, text-to-speech, and audio synthesis; prototype integrations and create a production-ready pathway from research to features.
  • Research and prototype image intelligence technologies such as face/body analysis, pose estimation, style transfer, and image-to-image consistency.
  • Develop evaluation frameworks to measure the accuracy of classifiers, the quality of generation models, and model drift over time.
  • Optimize inference pipelines for performance, cost, and latency—incorporating batching, quantization, caching, and model serving strategies.
  • Integrate with GPU compute infrastructure and deliver models via production APIs.

Requirements

  • 3+ years of experience building and deploying machine learning models in production, particularly in classification, tagging, or content understanding.
  • Hands-on experience with model training, including dataset curation, experimenting with architectures, tuning hyperparameters, and debugging.
  • Strong background in image classification and computer vision techniques (e.g., CNNs, vision transformers, CLIP).
  • Experience or demonstrated interest in voice/audio AI (e.g., text-to-speech, voice cloning, audio classification).
  • Proficiency in Python, with experience in PyTorch or TensorFlow.
  • Experience with building data labeling pipelines, annotation workflows, or active learning systems.
  • Understanding of model serving in production environments, including REST APIs and latency optimization.

Qualifications:

  • Bachelor’s degree or higher in Computer Science, Engineering, or related field.
  • Experience in AI/ML, particularly in content classification, tagging, and media organization systems.
  • Proven experience with Python and ML frameworks like PyTorch or TensorFlow.
  • Strong communication skills to collaborate with R&D teams and integrate new technologies into production.

Benefits

  • 100% remote, full-time role.
  • Flexible work hours.
  • Competitive salary and comprehensive benefits package.
  • Opportunity for career advancement and personal development.
  • Work on high-impact projects with cutting-edge AI technologies.

    • Originally posted on Himalayas

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