Note: The job is a remote job and is open to candidates in USA. Clarvos is a company developing AI-powered creative technologies. The Senior/Principal Visual ML Engineer will architect, develop, and deploy production-scale generative AI systems for image, video, and multimodal creative applications, while driving visual AI strategy. The role also leads model optimization, scalable ML system design, evaluation, and collaboration across Product, Engineering, Data Science, Design, and executive stakeholders.
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
- Deep expertise in Generative AI, multimodal foundation models, Vision Language Models (VLMs), Large Vision Models (LVMs), diffusion models, transformers, and autoregressive architectures, with hands-on experience building image and video generation systems using leading models such as FLUX, Stable Diffusion, Imagen, Veo, Runway, Kling, and open-source video diffusion models
- Strong experience with computer vision and multimodal AI frameworks (CLIP, Florence, Qwen-VL, LLaVA, SAM, YOLO, Grounding DINO) and applying them to visual understanding, generation, editing, and creative optimization
- Proven ability to productionize large-scale AI models using modern ML infrastructure including Hugging Face, Diffusers, DeepSpeed, FSDP, TensorRT, ONNX, CUDA/GPU optimization, and cloud-native MLOps platforms (AWS/GCP/Azure, Kubernetes, Kubeflow, MLflow, distributed inference)
- 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
Skills
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Robotics, or a related field
- 8–12+ years of experience developing production ML systems
- 5+ years of experience in Deep Learning and Computer Vision
- 3+ years of hands-on experience with Generative AI for images and video
- Expert-level proficiency in Python and PyTorch
- Strong software engineering fundamentals with production-quality code
- Solid understanding of distributed systems, GPU optimization, batching, and cost-aware inference
- Excellent software engineering fundamentals (Python, APIs, microservices, Docker, Kubernetes)
Benefits
- Remote, US Based
Company Overview