Machine Learning Engineer, AGI Structured Information Retrieval
Description For Machine Learning Engineer, AGI Structured Information Retrieval
Join Amazon's AGI Structured Information Retrieval team in developing cutting-edge services for querying the Amazon Knowledge Graph (AKG), a foundational component in their AGI tech stack. As a Machine Learning Engineer, you'll be at the forefront of developing sophisticated algorithms and modeling techniques for large-scale model training and deployment. The role combines deep technical expertise in ML infrastructure with hands-on development of distributed systems.
You'll work alongside talented engineers and applied scientists, focusing on building and enhancing structured information retrieval systems that enable high-precision, low-latency access to knowledge in AKG. The position requires strong expertise in ML frameworks, parallel computing, and modern containerization technologies.
This is an exceptional opportunity to work on breakthrough technology at one of the world's leading tech companies. You'll be contributing to the development of next-generation AI systems while working with state-of-the-art tools and frameworks. The role offers exposure to complex technical challenges and the chance to shape the future of natural language processing and knowledge retrieval systems.
The ideal candidate combines strong software engineering fundamentals with specialized knowledge in machine learning infrastructure. You'll need experience with distributed systems, ML frameworks like PyTorch and TensorFlow, and modern development tools. This position offers the opportunity to work on meaningful problems at scale while collaborating with some of the brightest minds in the field.
Responsibilities For Machine Learning Engineer, AGI Structured Information Retrieval
- Develop algorithms and modeling techniques for model training and deployment at scale
- Learn cutting-edge technologies and algorithms in ML field
- Develop and maintain key platforms for developing, evaluating and deploying ML models
- Investigate design approaches, prototype new technology and evaluate technical feasibility
- Work closely with Applied scientists to develop and scale machine learning models
- Develop novel processes for constructing and enhancing structured information retrieval systems
Requirements For Machine Learning Engineer, AGI Structured Information Retrieval
- 3+ years of professional software development experience in distributed systems with emphasis on ML infrastructure
- 3+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust
- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc
- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX
- Knowledge of emerging AI hardware accelerators and architectures
- Experience with containerization and orchestration technologies (Docker, Kubernetes)
Benefits For Machine Learning Engineer, AGI Structured Information Retrieval
- Comprehensive health benefits including medical, dental, and vision insurance
- Parental leave
- Equal opportunity employer with commitment to diversity and inclusion
- Workplace accommodations available
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