Job description

Reports to: Head of ML-Engineering Department: Engineering FLSA Category: Exempt Position Type: Full-Time, Senior/Principal level Travel Requirement: 0-10%, Quarterly for meetings Office Location: Remote, US Based JOB SUMMARY: We are seeking a Senior/Principal Machine Learning Engineer with deep expertise in Visual Language Models (VLMs), Large Vision Models (LVMs), Generative AI, and multimodal foundation models to build the next generation of AI-powered creative technologies. This is a hands-on technical role responsible for architecting, developing, and deploying state-of-the-art AI systems for image, video, and creative generation. You will work closely with Product, Engineering, Data Science, and Design teams to build production-scale GenAI capabilities that power creative automation, digital advertising, content personalization, and campaign optimization. You will drive innovation across the entire lifecycle, from research and experimentation through large-scale production deployment, while helping establish the company's long-term Visual AI strategy. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES: Visual AI & Generative AI Development • 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 Vision & Multimodal ML 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 Model Development & Optimization • 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 System Architecture & Technical Requirements • 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. Cross-Functional Collaboration • 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. KNOWLEDGE, SKILLS AND QUALIFICATIONS: • 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). PHYSICAL REQUIREMENTS/WORKING CONDITIONS: Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person. Climbing/Stooping/Kneeling: 0% - 10% of the time. Lifting/Pulling/Pushing: 0% - 10% of the time. Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time. Sitting: Sitting for prolonged and extended periods of time. This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description. For more information about the company, please visit our website: clarvos.com Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class. Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities. If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected] .

Requirements

Must-haves

Reports to: Head of ML-Engineering
Department: Engineering
FLSA Category: Exempt
Position Type: Full-Time, Senior/Principal level
Travel Requirement: 0-10%, Quarterly for meetings
Office Location: Remote, US Based
You will drive innovation across the entire lifecycle, from research and experimentation through large-scale production deployment, while helping establish the company's long-term Visual AI strategy.
Visual AI & Generative AI Development
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
Vision & Multimodal ML
Vision Language Models (VLMs)
Large Vision Models (LVMs)
Multimodal LLMs

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None flagged.

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Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learningaiawsgcpazurekubernetesllmpythondocker

Platform: trinet-hire
Effort: medium

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Vision