Machine Learning Engineer , AGI Structured Information Retrieval Full-time

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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