AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
About the role
- AI Research Engineer at Gradient building AI infrastructure. Contributing to advanced machine learning and decentralized systems development.
Responsibilities
- Design and implement protocols for AI training and inference (e.g. federated learning, distributed fine-tuning, secure model serving)
- Build scalable systems to support AI workloads across heterogeneous networks and devices
- Contribute to architectural decisions, performance optimization, and reliability engineering
- Collaborate with researchers and system engineers to translate novel ideas into real-world systems
- Stay current with the latest advancements in AI, distributed infrastructure, and cryptographic mechanisms
Requirements
- Strong programming skills in Python, Rust, or Go
- Experience with AI/ML model training and serving pipelines (e.g. PyTorch, JAX, TensorFlow)
- Solid foundation in distributed systems, networking, or applied cryptography
- Familiarity with concepts like federated learning, secure aggregation, or verifiable intelligence
- Bonus: experience working with blockchain protocols, zkML, or decentralized networks
Benefits
- Flexible work arrangements
- Professional development opportunities
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