Senior/Principal Visual ML Engineer

Clarvos LLC; Charleston (SC); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Clarvos in the United States is seeking a Senior/Principal Machine Learning Engineer with deep expertise in Visual Language Models, LVMs, and multimodal foundation models to advance AI-powered creative technologies.

You will architect, develop, and deploy production-scale GenAI systems for image and video generation, editing, and creative optimization, collaborating with Product, Engineering, Data Science and Design teams.

Competenze

• MS/PhD in CS/AI/ML or related field.
• 8–12+ years building production ML systems.
• 5+ years in deep learning and computer vision.
• 3+ years hands-on Generative AI for images/videos.
• Expert Python and PyTorch.
• Strong software engineering with production-quality code.
• Understanding of distributed systems and GPU optimization.

Mansioni

• Design and build production-grade AI for image and video generation and editing.
• Scale pipelines for automated creative generation across marketing channels.
• Research diffusion/transformer/multimodal architectures and deploy them.
• Lead end-to-end ML system design: data ingestion, training, inference, monitoring.
• Collaborate with Product, Data, and Platform teams; communicate with leadership.

Conoscenze

Deep Learning

Computer Vision

Generative AI

Python

PyTorch

Distributed Systems

GPU Optimization

Formazione

MS/PhD in CS/AI/ML or related field

Strumenti

Hugging Face

Diffusers

DeepSpeed

TensorRT

CUDA

ONNX

Kubeflow

MLflow

Descrizione del lavoro

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

Develop and optimize systems using:

• Transformer-based image/video generation
• 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:

• Motion transfer
• Storyboarding
• 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.

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.

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 [e-mail] .

Are you authorized to work in the United States? Are you authorized to work in the United States?

Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)? Will you now or in the future require sponsorship for employment visa status (e.g. H-1B status)?