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Full-Time

Machine Learning Engineer

Posted on 10/30/2024

Open Gradient

Open Gradient

1-10 employees

Decentralized AI model repository using blockchain

Crypto & Web3
AI & Machine Learning

Junior, Mid

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Tensorflow
CUDA
Data Structures & Algorithms
Pytorch
Java
Docker
Go
C/C++
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
  • Strong background in machine learning, deep learning, and statistical modeling with hands-on experience in developing and deploying ML infrastructure
  • Proficiency in programming languages such as Python, Java, C++, Go
  • Extensive experience with popular ML frameworks (e.g., TensorFlow, PyTorch, HuggingFace) and technologies (e.g. CUDA, ONNX)
  • Experience as a software engineer with deep understanding of algorithms and data structures
  • Have familiarity with the latest AI and ML research and working knowledge of how these systems are efficiently implemented.
Responsibilities
  • Design and implement scalable and efficient machine learning inference infrastructure and architecture to support real-time and batch processing requirements.
  • Develop deployment pipelines and tools for deploying machine learning models into production environments, including containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
  • Optimize model inference performance and resource utilization through techniques such as model quantization, pruning, and acceleration (e.g., GPU/TPU utilization, model caching).
  • Continuously evaluate and improve the performance of machine learning models and infrastructure through experimentation and optimization techniques.

OpenGradient merges blockchain technology with artificial intelligence to create a secure, open-source platform for AI models. It provides a decentralized repository where developers can access both open and closed source AI models. Using the NeuroML Solidity framework, developers can interact with these models through smart contracts, ensuring secure and efficient usage. Unlike competitors, OpenGradient emphasizes ownership and security of AI models, catering to smart contract developers and businesses looking for reliable AI solutions. The goal is to enhance AI infrastructure, promoting innovation and security in the AI space.

Company Stage

Seed

Total Funding

$8.3M

Headquarters

New York City, New York

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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Simplify's Take

What believers are saying

  • The recent $8.5 million seed funding highlights strong investor confidence and provides resources for further innovation and growth.
  • OpenGradient's platform democratizes AI model ownership, potentially attracting a wide range of developers and businesses looking for secure and decentralized AI solutions.
  • Being incubated by a16z's startup accelerator and favored by influential figures like Balaji positions OpenGradient for significant industry influence and networking opportunities.

What critics are saying

  • The niche market of decentralized AI infrastructure may face slower adoption compared to more established AI solutions.
  • Relying on blockchain technology could expose OpenGradient to regulatory challenges and technological limitations inherent in the blockchain space.

What makes Open Gradient unique

  • OpenGradient uniquely combines blockchain with AI, offering a decentralized platform that enhances security and ownership of AI models, unlike traditional centralized AI platforms.
  • Their NeuroML Solidity framework allows developers to access AI models through smart contracts, setting them apart in the AI and blockchain intersection.
  • The focus on both open and closed source AI models provides flexibility and broad appeal to developers and businesses seeking secure AI solutions.

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