Join VideoSDK as an AI Research Engineer to lead infrastructure development for small language models and speech systems, optimized for on-device multimodal AI.

Company: VideoSDK

Role: AI Research Engineer

Location: Hybrid (India)

Experience:

1-2 Years

Qualification:

BE/BTech in CS/IT

Role Focus:

Build scalable infrastructure to train, evaluate, and deploy small language models efficiently
Design and implement RL-based training loops for tuning small models in constrained environments
Work with speech systems, including speech-to-text, text-to-speech, and voice activity detection
Optimize models for on-device inference – targeting mobile, browser, and edge hardware (CPU, GPU)
Contribute to building real-time multimodal AI pipelines combining text, audio, and video
Translate cutting-edge research into clean, production-ready code
Drive experiments on quantization, distillation, and architecture search for efficient deployment

Nice to have:

Experience optimizing inference for mobile or edge deployments (ONNX, CoreML, TFLite, MLX, WebAssembly)
Knowledge of state space models, recurrent architectures, or other attention-free designs
Contributions to open-source AI projects
Familiarity with latency-constrained or real-time systems

Other:

We’re pushing the boundaries of real-time, personalized, multimodal AI — and doing it on the edge
You’ll work in a fast-moving environment where research meets product, and where your work directly shapes next-gen communication, assistants, and live experiences
This is your chance to build the infrastructure behind real-time, human-like AI systems that don’t just live in the cloud — they live everywhere

AI Research Engineer

Skills Required

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