Machine Learning Researcher

Machine Learning Researcher (Distributed Systems)

Are you passionate about driving innovation in machine learning and computational technology? Do you dream of democratizing access to AI and breaking down the barriers to large-scale model training? We're seeking a Senior Machine Learning Scientist to join us on this exciting journey.

We are a leading organization building a decentralized platform for machine learning compute. Our mission is to unlock the full potential of AI by creating a scalable, cost-effective, and accessible infrastructure for the next generation of AI technologies.

The computational demands of modern AI are immense. Training large-scale models requires massive amounts of processing power, often out of reach for many due to prohibitive costs and limitations of centralized infrastructure. This restricts innovation and creates barriers to entry, hindering the democratization of AI.

Our platform harnesses the power of a global network of computing devices, creating a decentralized marketplace for deep learning computation. By combining innovative techniques such as probabilistic proof-of-learning and graph-based verification with cryptography technology, we ensure the integrity and validity of computational work while maintaining cost-efficiency. This approach eliminates the need for expensive replication and allows us to tap into vast amounts of underutilized compute resources.

What We Can Offer You:

• Impact: The opportunity to make a significant contribution to the advancement of AI technology by developing a groundbreaking platform that democratizes access to compute resources.
• Collaboration: Work alongside a team of leading experts in the fields of machine learning, cryptography technology, and high-performance computing.
• Growth: A dynamic environment that fosters continuous learning and professional development as you tackle complex challenges at the cutting edge of AI and decentralized systems.
• Recognition: The chance to publish your work and present at leading conferences, positioning yourself as a pioneer in this emerging field.
• Resources: Access to state-of-the-art infrastructure and tools to support your research and development.

Key Responsibilities:

• Develop and optimize ML computational frameworks to enhance performance and scalability within a decentralized environment.
• Research and implement novel algorithms for efficient distributed and heterogeneous model training on our platform.
• Collaborate on the design and improvement of our proof-of-learning and verification mechanisms to ensure the integrity of the network.
• Integrate and test cutting-edge ML models on the platform to demonstrate its capabilities and drive adoption.
• Contribute to the development of open-source tools and libraries that expand the reach and impact of our technology.

We seek individuals with a strong background in machine learning research and a deep understanding of distributed systems and high-performance computing. Proficiency in Python and/or C++ is essential, as is experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

Keywords: Distributed computing, heterogeneous computing, machine learning, deep learning, decentralized systems, proof-of-learning, scalability, high-performance computing (HPC).