Senior/Principal Visual ML Engineer

Clarvos is seeking a Senior/Principal Machine Learning Engineer to build next-generation AI-powered creative technologies. The role will architect, develop, and deploy 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
• Develop and optimize systems using:

• Vision Language Models (VLMs)
• Large Vision Models (LVMs)
• Multimodal LLMs
• Diffusion models
• Transformer-based image/video generation
• Contrastive vision-language models
• Image-text alignment models
• Visual reasoning models

• 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