Senior/Principal Visual ML Engineer

Clarvos is seeking a Senior/Principal Machine Learning Engineer to build the next generation of AI-powered creative technologies. The role focuses on architecting, developing, evaluating, and deploying production-scale visual and multimodal generative AI systems for image, video, creative automation, digital advertising, content personalization, and campaign optimization.

Responsibilities:

• Design and develop production-grade AI systems for:
  • Image generation
  • Video generation
  • Image editing and enhancement
  • Creative optimization
  • Style transfer
  • Multimodal content understanding
  • Brand-aware content generation
  • AI-assisted creative workflows
• Build scalable pipelines for automated creative generation across multiple marketing channels
• Research and implement state-of-the-art diffusion, transformer, autoregressive, and multimodal architectures
• Fine-tune and optimize foundation models for enterprise production use cases
• Train, fine-tune, optimize, and deploy large-scale generative AI models using advanced techniques including LoRA, QLoRA, PEFT, distillation, quantization, and prompt optimization
• Build robust model evaluation frameworks to measure creative quality, visual fidelity, consistency, brand alignment, safety, hallucination risk, and human preference alignment
• Improve model performance across quality, latency, scalability, and cost through continuous experimentation, benchmarking, and production optimization
• Lead development and building of AI systems for:
  • Text-to-video generation
  • Image-to-video generation
  • Video editing
  • AI avatars
  • Motion transfer
  • Storyboarding
  • Creative sequencing
  • Marketing video generation
  • Dynamic creative optimization
• Lead decisions around foundation models, fine-tuning strategies, RAG pipelines, embeddings, and ranking systems
• Architect and oversee scalable LLM/GenAI systems for MarTech/AdTech use cases
• Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, MCP, or equivalent
• Own end-to-end ML system design: data ingestion, feature pipelines, training, inference, evaluation, and monitoring
• Work closely with Product, Data, and Platform teams to translate business needs into scalable ML capabilities
• Communicate complex ML concepts clearly to executive leadership, stakeholders, and the Board
• Contribute to technical narratives used for fundraising, company valuation, and strategic planning