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.
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  Strong background in image classification and computer vision techniques (e.g., CNNs, vision transformers, CLIP).
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  Experience or demonstrated interest in voice/audio AI (e.g., text-to-speech, voice cloning, audio classification).
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  Proficiency in Python, with experience in PyTorch or TensorFlow.
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  Experience with building data labeling pipelines, annotation workflows, or active learning systems.
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  Understanding of model serving in production environments, including REST APIs and latency optimization.

Qualifications:

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  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