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

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