Machine Learning Engineer

2 weeks ago

Boston, United States Amazon Full time
Machine Learning Engineer, AGI Structured Information Retrieval

Job ID: 2854800 | Amazon.com Services LLC

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 Machine Learning Engineer (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 an 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.

Posted: October 4, 2024 (Updated about 10 hours ago)

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