Key Facts

Remote From:

Category: Artificial Intelligence Engineer

Full time

English

Hard Skills

WebRTC PyTorch (Machine Learning Library) Intelligent Agent Video Editing Observability Reliability Engineering Containerization Performance Improvement Manual Testing CI/CD +5 more

Other Skills

•
Analytical Thinking
•
Problem Solving

Roles & Responsibilities

Degree in Computer Science, Electrical Engineering, or similar.
Strong analytical and problem-solving mindset.
Hands-on with Hugging Face Diffusers, PyTorch, and multi-GPU training/inference.
Experience with WebRTC, containerized deployment, and CI/CD workflows.

Requirements:

Build the core: Design and ship a blazing-fast generative video pipeline with real-time modulation.
Scale it up: Deploy and operate GPU-powered services across clusters and HPC environments.
Make it smart: Create an intelligent agent that understands scenes and edits video on the fly.
Push the limits: Optimize for speed, quality, and reliability using the latest transformer acceleration.

Job description

This is a remote position.

Do you dream of building the future of live AI video? Join us to craft cutting-edge streaming pipelines where creativity meets real-time performance. You’ll help design intelligent systems that turn imagination into moving images — instantly.

About the job

Build the core: Design and ship a blazing-fast generative video pipeline with real-time modulation.
Scale it up: Deploy and operate GPU-powered services across clusters and HPC environments.
Make it smart: Create an intelligent agent that understands scenes and edits video on the fly.
Push the limits: Optimize for speed, quality, and reliability using the latest transformer acceleration.
Keep it solid: Ensure robust production with observability, testing, and reliability drills.

Your profile

Degree in Computer Science, Electrical Engineering, or similar.
Strong analytical and problem-solving mindset.
Hands-on with Hugging Face Diffusers, PyTorch, and multi-GPU training/inference.
Experience with WebRTC, containerized deployment, and CI/CD workflows.
Nice-to-have: CUDA kernel optimization, real-time media streaming, transformer inference acceleration.