Vision-Language ML Architect & Inventor of Novel VLMs

Arcade; Presidio (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Daily catered lunch

Company events

Equal opportunity employer

Job summary

Arcade is seeking a high-caliber Vision-Language Model expert to lead innovative research and develop production-ready AI systems that evaluate consumer product imagery with advanced multimodal capabilities.

You will invent architectures and training paradigms, pushing beyond standard models to quantify aesthetics, market value, and context-aware captions for on-demand manufacturing platforms. Join a world-class team in San Francisco's Presidio.

Qualifications

• Ph.D. in CS/AI/ML or closely related field.
• Strong publication record in top AI/CV/NLP venues.
• Deep theoretical and practical understanding of Vision-Language Models and multimodal architectures.
• Proficient in Python and PyTorch with ability to write optimized training loops.

Responsibilities

• Pioneer novel neural architectures, loss functions, and multimodal integration techniques.
• Lead fine-tuning and adaptation of state-of-the-art Vision-Language Models for complex tasks.
• Develop foundations to extract nuanced signals from product images and translate them into learnable objectives.
• Guide dataset creation, curation, and augmentation for domain-specific concepts.
• Invent evaluation frameworks and custom metrics for abstract tasks without standard benchmarks.
• Collaborate with engineering to translate research into scalable, production-ready systems.

Skills

VLM expertise

Multimodal architectures

Transformer models

Python

Problem solving

Education

Ph.D. in Computer Science/AI/ML

Tools

PyTorch

Job description

Arcade is seeking a high-caliber Vision-Language Model expert to lead innovative research and develop production-ready AI systems that evaluate consumer product imagery with advanced multimodal capabilities.

You will invent architectures and training paradigms, pushing beyond standard models to quantify aesthetics, market value, and context-aware captions for on-demand manufacturing platforms. Join a world-class team in San Francisco's Presidio.