Software Engineer Go, Python, TS - Remote

Amazon.com, Inc.
New York, NY, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$120,000.0 - $210,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Software Documentation Collaborative Software Software Design Patterns Python (Programming Language) Machine Learning Software Architecture TypeScript Golang

Job description

Lead Machine Learning Engineer (Python, GoLang, AWS) As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learni…

  • 10 hours ago +

Requirements

  • Expert-level proficiency in Go, with substantial hands-on project experience.
  • Strong command of Python and TypeScript, with the ability to write clean, idiomatic code in both languages.
  • Excellent written and verbal communication skills, with a keen focus on articulating technical concepts clearly.
  • Familiarity with software architecture, design patterns, and modern development workflows.
  • Prior experience reviewing or analyzing code for correctness, efficiency, and clarity.
  • Exposure to code documentation best practices and collaborative software projects.
  • Interest in contributing to AI and machine learning advancements; direct AI experience is a plus but not required., Are you passionate about applying AI and compilation techniques to automate legal contract processing at AWS scale? The AWS Contract Onboarding team is looking for a Software Devel…
  • 4 days ago

Benefits & conditions

  • Design and implement code solutions using Go, Python, and TypeScript to simulate real-world development scenarios for AI model training.
  • Review, analyze, and critique sample code and technical materials, providing detailed written feedback that enhances AI understanding of software engineering concepts.
  • Generate high-quality code samples, unit tests, and documentation to support a wide range of AI training use cases.
  • Identify edge cases, best practices, and common pitfalls in software design and development to help refine model outputs.
  • Contribute to discussions and collaborative reviews that focus on effective communication of complex technical ideas.
  • Refine prompts and queries that will be used to evaluate and improve AI-generated code outputs.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Applying supervised machine learning for practical rule extraction

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Event-driven Golang backend architecture and cloud deployment

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Building AI applications at the AWS football hackathon

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