Software Development Engineer (ML), AGI Customization

A global technology company leading in e-commerce, cloud computing, AI, and digital streaming.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Software Development Engineer (ML), AGI Customization

The Artificial General Intelligence (AGI) team at Amazon is seeking a talented ML Engineer to push the boundaries of Large Language Models and AI innovation. This role focuses on developing cutting-edge LLM training techniques and optimizations, working with state-of-the-art multimodal models. The position offers a unique opportunity to work with Amazon's vast computing resources and diverse data sources.

The team culture emphasizes mentorship, knowledge sharing, and work-life balance. You'll be part of a collaborative environment where senior members provide one-on-one mentoring and thoughtful code reviews. The team operates in an Agile/Scrum framework, delivering high-quality AI products and services in a fast-paced environment.

As an ML Engineer, you'll lead initiatives in model fine-tuning and distillation, working closely with Applied Scientists to process data and scale machine learning models. The role requires exceptional technical expertise in machine learning and computer science fundamentals. The compensation is competitive, ranging from $129,300 to $223,600 based on location, plus additional benefits including equity and comprehensive medical coverage.

This is an excellent opportunity for someone passionate about advancing AI technology while working with a supportive team that values both professional growth and personal well-being. The position offers the chance to make significant contributions to the future of AGI while maintaining a healthy work-life balance.

Last updated 13 hours ago

Responsibilities For Software Development Engineer (ML), AGI Customization

  • Lead development of novel LLM training techniques and optimizations
  • Build customization capabilities such as fine tuning and distillation
  • Collaborate with Applied Scientists
  • Process data and scale machine learning models
  • Work in an Agile/Scrum environment
  • Investigate design approaches and prototype new technology
  • Evaluate technical feasibility

Requirements For Software Development Engineer (ML), AGI Customization

Python
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • Experience programming with at least one software programming language
  • Strong machine learning background
  • Sound understanding of Computer Science and Machine Learning fundamentals

Benefits For Software Development Engineer (ML), AGI Customization

Medical Insurance
Equity
  • Flexible working hours
  • Work-life balance
  • Mentorship and career growth opportunities
  • Knowledge sharing environment
  • Medical, financial, and other benefits
  • Equity compensation available
  • Total compensation package

Interested in this job?

Jobs Related To Amazon Software Development Engineer (ML), AGI Customization

Software Development Engineer (ML), AGI Customization

ML Engineer role at Amazon's AGI team focusing on LLM training, fine-tuning, and distillation, offering competitive salary and growth opportunities.

Software Development Engineer (ML), AGI Customization

ML Engineer role at Amazon's AGI team focusing on LLM customization, fine-tuning, and distillation, offering competitive compensation and growth opportunities.

Software Development Engineer (ML), AGI Customization

ML Engineer position at Amazon's AGI team focusing on LLM customization, fine-tuning, and distillation, offering competitive salary and comprehensive benefits.

Software Dev Engineer, AGI Info - Web & Knowledge Services

Software Development Engineer role at Amazon focusing on AGI development, combining ML, retrieval systems, and high-performance computing.

Software Dev Engineer, AGI Info - Web & Knowledge Services

Software Development Engineer role at Amazon focusing on AGI development, combining ML, distributed systems, and high-performance computing.