Post Job Free
Sign in

Machine Learning Engineer

Company:
Bytez
Location:
Alameda, CA, 94501
Posted:
May 22, 2025
Apply

Description:

Bytez is a technology company dedicated to making AI universally accessible. Were helping build a better internet, where anyone can leverage AI to bring their ideas to life. Thats why were building a primitive superintelligent AI system thats 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. About the Role

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

Youll 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, youll work with enterprises in the adoption of the agent.

Youll have access to unpublished AI research from top conferences, and youll help these conferences make this AI research accessible to the world.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, lets collaborate. Tech Stack

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 Your Skills

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.

Apply