Responsibilities
-
Design and build machine learning models tailored for blockchain applications, with an emphasis on efficient time-series architectures and scalable solutions.
-
Collaborate with blockchain engineers to seamlessly integrate AI solutions into decentralized applications, ensuring reliability and security.
-
Optimize algorithms for processing large-scale blockchain data, improving accuracy, speed, and efficiency.
-
Deploy, monitor, and refine models in production to adapt to evolving crypto market dynamics.
Qualifications
-
Degree in Computer Science, Mathematics, Engineering, or a related field, with a focus on ML/AI.
-
Proven experience in developing, training, and deploying ML models; familiarity with the crypto/blockchain space is preferred.
-
Strong technical skills in Python, R, or Java, and experience with ML frameworks such as TensorFlow or PyTorch (JAX is a plus).
-
Solid grasp of blockchain fundamentals, including smart contracts, consensus algorithms, and decentralized systems.
-
A strong publication record in top ML venues is valued, though exceptional applied experience can substitute.
What We’re Looking For
-
Deep expertise in machine learning and mathematics, especially in representation learning.
-
Passion for AI, mathematics, and decentralized technologies such as DeFi, smart contracts, and tokenomics.
-
Ability to thrive in collaborative, cross-disciplinary projects at the intersection of AI and blockchain.
About Us
We are a research-driven company pioneering the development of world models—general-purpose representations of reality that power robotics, autonomous agents, and interactive 3D environments. Our mission is to advance foundational AI through cutting-edge research in video, image, and audio models, with a strong focus on efficient time-series architectures.
By bringing advanced ML research into blockchain applications, we aim to build intelligent, scalable, and secure decentralized systems for the next generation of digital innovation.
Responsibilities
-
Design and build machine learning models tailored for blockchain applications, with an emphasis on efficient time-series architectures and scalable solutions.
-
Collaborate with blockchain engineers to seamlessly integrate AI solutions into decentralized applications, ensuring reliability and security.
-
Optimize algorithms for processing large-scale blockchain data, improving accuracy, speed, and efficiency.
-
Deploy, monitor, and refine models in production to adapt to evolving crypto market dynamics.
Qualifications
-
Degree in Computer Science, Mathematics, Engineering, or a related field, with a focus on ML/AI.
-
Proven experience in developing, training, and deploying ML models; familiarity with the crypto/blockchain space is preferred.
-
Strong technical skills in Python, R, or Java, and experience with ML frameworks such as TensorFlow or PyTorch (JAX is a plus).
-
Solid grasp of blockchain fundamentals, including smart contracts, consensus algorithms, and decentralized systems.
-
A strong publication record in top ML venues is valued, though exceptional applied experience can substitute.
What We’re Looking For
-
Deep expertise in machine learning and mathematics, especially in representation learning.
-
Passion for AI, mathematics, and decentralized technologies such as DeFi, smart contracts, and tokenomics.
-
Ability to thrive in collaborative, cross-disciplinary projects at the intersection of AI and blockchain.
About Us
We are a research-driven company pioneering the development of world models—general-purpose representations of reality that power robotics, autonomous agents, and interactive 3D environments. Our mission is to advance foundational AI through cutting-edge research in video, image, and audio models, with a strong focus on efficient time-series architectures.
By bringing advanced ML research into blockchain applications, we aim to build intelligent, scalable, and secure decentralized systems for the next generation of digital innovation.