Embedded Engineer

Role : Multimodal Embedding Engineer

Job Type; Full time

Location : Bangalore, Remote for good candidates

Core Technical Work :

Design and implement multi-modal embedding models that create unified vector representations across text, images, video, audio, and other modalities.

Build and optimize contrastive learning frameworks (e.g., CLIP-style architectures) for cross-modal alignment.

Develop embedding spaces that preserve semantic relationships within and across modalities

Create efficient indexing and retrieval systems for multi-modal data at scale.

Fine-tune and adapt foundation models for domain-specific multi-modal applications.

Data & Infrastructure :

Build data pipelines for processing and aligning multi-modal datasets.

Implement quality control mechanisms for multi-modal training data.

Design evaluation frameworks to measure embedding quality across modalities.

Optimize inference performance for real-time multi-modal search and retrieval.

Research & Innovation :

Stay current with latest research in multi-modal learning, vision-language models, and embedding techniques.

Experiment with novel architectures for improved cross-modal understanding.

Benchmark different approaches and conduct ablation studies.