AI Infrastructure Engineer

About The Role:

The NEAR AI engineering team is developing decentralized and confidential machine learning infrastructure to power user owned AI. We currently focus on building infrastructure to enable private and confidential inference that works across different compute providers, as well as a blockchain-based coordination layer that incentivizes computer providers to join the decentralized inference network.

You will own various components and drive critical decisions throughout their life cycles, including architecture, implementation, and maintenance. You will collaborate with highly knowledgeable and skilled colleagues who are passionate about solving hard problems that can disrupt the industry.

What You'll Be Doing:

• Contribute to the design of a decentralized inference network consisting of different hardware providers
• Design and implement private and confidential inference based on Trust Execution Environment
• Performance optimizations of model inference

What We're Looking For:

• Fluency with algorithms and data structures.
• Strong experience with distributed systems
• Agility to quickly learn new languages and technologies.
• Ability to write clean yet efficient code. 
• Meticulousness to lay out priorities and methodically make progress towards the goal.
• Good communication skills to convey your ideas and discuss with team members for technical challenges.
• Bachelor's Degree in Computer Science or a related field.

We'd Love If You Have:

• Professional experience with Rust 
• Experience with Trusted Execution Environment (TEE)
• Experience with blockchain protocols

Please let us know if you require any special requirements for your interview and we’ll do our best to accommodate.

Locations: San Francisco.