The company is pioneering the development of world models for robotics, autonomous agents, and interactive 3D environments. They aim to advance foundational AI through research in video, image, and audio models, with a focus on efficient time-series architectures, and are looking to apply these advancements to blockchain applications.
Requirements
- Proficiency in PyTorch, TensorFlow/Keras, and the scientific Python stack, with experience in JAX being a plus
- Strong technical skills in programming languages such as Python, R, or Java
- Familiarity with machine learning libraries like TensorFlow or PyTorch
- Understanding of blockchain fundamentals, including smart contracts and consensus algorithms
Responsibilities
- Design and develop machine learning models that enhance blockchain applications, focusing on efficient time-series architectures and scalable solutions.
- Collaborate with blockchain engineers to integrate AI solutions into decentralized applications, ensuring seamless functionality and security.
- Optimize algorithms for large-scale data processing within blockchain systems, enhancing speed, accuracy, and resource efficiency.
- Monitor and refine machine learning models in production, ensuring they meet the dynamic needs of the crypto market.
Other
- Individuals with deep expertise in machine learning and mathematics, particularly in representation learning
- Candidates with a strong publication record in top machine learning venues, although this requirement can be waived for exceptional experience.
- Enthusiasts passionate about AI, mathematics, and collaborative projects that intersect with DeFi, smart contracts, and tokenomics.
- A degree in Computer Science, Mathematics, Engineering, or a related field, with a focus on machine learning or artificial intelligence.
- Proven experience in building, training, and implementing machine learning models, with a preference for candidates familiar with the crypto space.
