AI Engineer, Hyperbolic

Salary not provided

Tensorflow

CUDA

PyTorch

Mid and Senior level

San Francisco Bay Area

More information about location

Open-access AI cloud

Open for applications

Open-access AI cloud

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Open for applications

Salary not provided

Tensorflow

CUDA

PyTorch

Mid and Senior level

San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSCloud Computing

Company mission

To democratize AI by breaking down the barriers to computing power with our open-access AI cloud.

Job

Company

Role

Who you are

Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects
Have worked on distributed inference/fine-tuning for LLMs and diffusion models
Have practical skills in training, fine-tuning, and deploying neural networks
Understand ML performance profiling and optimization, including graph-level optimizations
Are familiar with common neural network architectures and operators

Desirable

Knowledge of ML compilers, with TVM experience being a significant advantage
Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow
Understanding P2P networks or worked with distributed cloud services and microservices

What the job involves

We're on the lookout for an AI Engineer to join us in shaping the future of decentralized AI
In this role, you'll work alongside our Engineering team to develop our decentralized AI platform

Our take

As AI models become more complex, they require substantial computer power. This puts a strain on companies and slows down the adoption of AI technologies, as the infrastructure needed to support these models can be costly and resource-intensive.

Hyperbolic is leveraging blockchain technology to create a decentralized cloud network that aggregates GPU computer power. By pooling resources from various contributors, Hyperbolic aims to make AI computing more efficient and affordable.

Its innovative approach hasn't gone unnoticed, with the company recently securing substantial funding. This will enable Hyperbolic to advance its technology and expand its network, working towards its goal of building an open AI ecosystem where contributors and users can benefit from shared computing resources.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Few candidates hear
back within 2 weeks

Company

Funding (2 rounds)

Jul 2024

$7m

SEED

Jan 2022

$0.7m

SEED

Total funding: $7.7m

Company HQ

SoMa, San Francisco, CA

Articles

Web3 AI firm Hyperbolic raises $7 million in seed funding

Hyperbolic Labs raises $7M for its blockchain-based AI network to use idle GPU capacity

Math Olympian in Shadow of John Nash Tries to Solve Blockchain, AI Trust Dilemma

Leadership

Dr. Jasper (Yue) Zhang

(CEO)

Graduated from UC Berkeley with a Math PhD. Gold Medalist at Alibaba Global Math Competition and Chinese Mathematical Olympiad. Previously worked at Ava Labs and Citadel Securities.

Dr. Yuchen Jin

(CTO)

Graduated from the University of Washington with a PhD in CS Systems and Networking with publications at top conferences including ICLR, SIGCOMM, NSDI and SOSP. Previously led Relax, an open-source AI complier within Apache TVM.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 8 more jobs at Hyperbolic