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WOW Remote Teams

Globalize Your Team | Hire Top Remote Professionals outside the U.S | Nearshore Same Time Zone

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

Research EngineerResearch EngineerFull TimeRemoteMid LevelTeam 1-10Since 2021H1B No SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

100 days ago

Salary

0

Seniority

Mid Level

Job Description

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

WOW Remote Teams

Role 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. 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. 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. 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. 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.

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Job Closed