Job Information
Amazon Machine Learning Engineer , AGI Structured Information Retrieval in Boston, Massachusetts
Description
The AGI Structured Information Retrieval team develops the services required to query the Amazon Knowledge Graph (AKG), an LLM-optimized, foundational component in the AGI tech stack, using Natural Language.
As a MLE, you'll have the power to lead the charge in developing algorithms and modeling techniques to push the boundaries of model training and deployment at scale.
Key job responsibilities
Ability to quickly learn cutting-edge technologies and algorithms in the field of ML to participate in our journey to build the best NL to Structured retrieval service.
Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying ML models for real-world applications.
Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
Work closely with Applied scientists to develop and scale machine learning models.
A day in the life
You will be working with a strong team of engineers and collaborating with applied scientists to develop novel processes for constructing and enhancing structured information retrieval systems; and enable high precision/recall & low latency access to knowledge in AKG.
For this role we expect:
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, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up
Knowledge of emerging AI hardware accelerators and architectures
Experience with containerization and orchestration technologies (Docker, Kubernetes)
Basic Qualifications
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
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