Multimodal AI Research Engineer: Scale Vision Models

Orbifold AI; Palo Alto (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Groundbreaking AI research

Large-scale AI datasets experience

Collaboration with AI leaders

Fortune 500 impact

Flexible work culture

Job summary

Orbifold AI is seeking a Research Engineer to build and optimize AI models and a data distillation platform powering multimodal AI infrastructure. You will focus on developing complex visual models and transforming vast, unstructured data into high-quality inputs for training, RAG, and reinforcement learning.

The role requires hands-on experience with visual data, distributed systems, and deep learning frameworks, with a passion for advancing multimodal AI applications across industries.

Qualifications

• Bachelor’s or advanced degree in Computer Science or a related field.
• Proficiency in Python and experience with large open source datasets like DataComp.
• Solid understanding of distributed computing and experience working with large-scale, high-throughput systems.
• Hands-on experience with visual data and multimodal model training.
• Familiarity with deep learning frameworks, especially for handling multimodal data in model training.
• Strong interest in large-scale visual model research and comfort working in a rapidly evolving, dynamic environment.

Responsibilities

• Develop, implement, and maintain MoE models, data pipelines, batch inference operating at internet scale, processing large, multimodal datasets including images, text, and videos.
• Integrate the latest research methods into our multimodal models and data distillation platform, ensuring high standards of data accuracy, relevance, and diversity.
• Innovate and experiment with new SOTA models and data curation techniques to maximize the quality and efficiency of training advanced multimodal models.
• Continuously improve data & AI infrastructure to support scalability and flexibility as models and data requirements evolve.

Skills

Multimodal AI

Distributed computing

Visual model training

Data distillation pipelines

Education

Bachelor’s or higher in Computer Science or related field

Tools

Python

DataComp

Job description

Orbifold AI is seeking a Research Engineer to build and optimize AI models and a data distillation platform powering multimodal AI infrastructure. You will focus on developing complex visual models and transforming vast, unstructured data into high-quality inputs for training, RAG, and reinforcement learning.

The role requires hands-on experience with visual data, distributed systems, and deep learning frameworks, with a passion for advancing multimodal AI applications across industries.