Join the Hive

Help us build the future of decentralized AI. We're looking for researchers, engineers, and operators who share our vision of democratizing machine learning.

Departments

Research

Push the boundaries of AutoML, distributed systems, and decentralized AI research.

Remote, San Francisco, Boston

Engineering

Build the infrastructure that powers the future of distributed machine learning.

Remote, San Francisco, Austin, Berlin

Administration

Support operations, finance, legal, and business development for our growing organization.

Remote, San Francisco

Currently No Open Positions

We're not actively hiring at the moment, but we're always interested in connecting with talented individuals who are passionate about decentralized AI and AutoML.

Interested in Future Opportunities?

Send us your resume and a note about what excites you about Hivetensor's mission. We'll keep your information on file and reach out when relevant positions become available.

Send Your Information

What We Look For

Research

  • • PhD in ML/AI or equivalent
  • • Experience with distributed systems
  • • AutoML and meta-learning expertise
  • • Strong publication record

Engineering

  • • Full-stack or backend expertise
  • • Experience with ML systems
  • • Distributed computing knowledge
  • • Python, Rust, or Go proficiency

Administration

  • • Operations or finance background
  • • Startup experience preferred
  • • Strong organizational skills
  • • Remote work experience

Our Culture

Decentralized & Remote-First

We practice what we preach. Our team is distributed globally, working asynchronously to build the infrastructure for decentralized AI.

Open Source by Default

We believe in transparent development and contributing back to the community. Most of our work is open source and accessible to all.

Research-Driven

We're not just building products—we're advancing the state of the art in distributed machine learning and AutoML systems.

Long-term Thinking

We're building infrastructure for the next decade of AI development, not chasing short-term trends or quick wins.