Bytez is a technology company dedicated to making AI universally accessible. We're helping build a better internet, where anyone can leverage AI to bring their ideas to life. That's why we're building a primitive superintelligent AI system that's solely specialized in AI research and models. We believe 1,000,000 networked brains are better than one neural network.

Bytez is honored to be used by hundreds of thousands of AI professionals every month, and be the official technology used by top AI journals, such as NeurIPS and CVPR.

Join us in a different kind of revolution.

We’re looking for a passionate Machine Learning Engineer with full-stack expertise. You must be passionate about AI and agent technology.

You'll join our AI Engineering team, which is building an AI Agent that can run an unprecedented 100k models across tasks. Our agent intelligently orchestrates workflows by selecting and executing the most effective open and closed-source models for the requested task. In addition to contributing to the agent, you'll work with enterprises in the adoption of the agent.

You'll have access to unpublished AI research from top conferences, and you'll help these conferences make this AI research accessible to the world.

This will be your focus for the next 6 months. If that path of learning sounds exciting, let's collaborate. 

• Front-end: Next.js, React, MobX, Firebase, MUI
• Languages: Node.js, Python, Julia
• Cloud: GCP (primary), AWS (secondary)
• Architecture: Serverless, event-driven
• Databases: NoSQL, Graph

Full-stack Development

• Authored or contributed significantly to multiple full-stack applications
• Experience deploying scalable services on GCP or AWS

Machine Learning Engineering

• Delivered 3+ production ML projects end-to-end, from data preprocessing to deployment
• Expertise in fine-tuning LLMs and other open and proprietary models
• Skilled at deploying and maintaining production ML models with scalability and reliability in mind
• Constant learner, staying up-to-date with the latest AI research and techniques

Sound exciting? Send us your GitHub or join us in Discord.