Principal Multimodal AI Engineer – Vision & Language Architectures

Opportunity Overview

Location: 100% Remote (United States)
Employment Type: Full-Time Direct-Hire via Accel DNA
Compensation Range: $210,000 – $250,000 Base + Significant Equity
Hiring Agency: Accel DNA – Premier Frontier Data & AI Talent Partner

Lead technical research and production deployment of Vision-Language Models (VLMs) for complex document understanding, visual QA, and video processing.

Key Responsibilities:

• Fine-tune and deploy open-weight vision-language foundation models (Qwen-VL, Llama-Vision, Pixtral) for high-accuracy document intelligence.
• Build spatial visual grounding and object-level reasoning pipelines extracting structured tables and diagrams from engineering blueprints.
• Optimize multimodal model inference through visual token pruning and cross-attention quantization.
• Collaborate with applied product squads to integrate visual reasoning agents into enterprise workflows.

What You Bring:

• MS or PhD in Computer Vision, Machine Learning, or related field with 5+ years of applied deep learning experience.
• Demonstrated track record training and fine-tuning Vision Transformers (ViT) and cross-modal attention mechanisms.
• Expertise in PyTorch, TensorRT, Hugging Face Transformers, and distributed GPU training.
• First-author publications or notable open-source contributions in multimodal AI are highly valued.

How to Apply:

Interested in exploring this opportunity? Submit your profile or portfolio directly to contact@accel-dna.com or apply through https://accel-dna.com/contact-us/.