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Posted via Amazon Jobs

Machine Learning Engineer II , AGI Customization

Posted Aug 3, 2026

Role at a glance

Salary
$143.7K – $194.4K/yr
Location
Boston, Massachusetts, United States
Work arrangement
On-site
Employment
Internship
Education
Bachelor's degree in computer science or equivalent

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Role Summary

AI-generated

The AGI team is developing customization capabilities for large language models, including fine tuning, distillation, model evaluation, and prompt optimization. This Software Development Engineer will lead development of LLM training techniques and optimizations while collaborating with Applied Scientists on multimodal LLM and generative AI solutions.

What You'll Do

  • Build customization capabilities such as fine tuning, distillation, model evaluation, and prompt optimization
  • Lead development of novel LLM training techniques and optimizations
  • Collaborate closely with Applied Scientists
  • Leverage heterogeneous data sources and large-scale computing resources
  • Develop multimodal Large Language Models and Generative Artificial Intelligence solutions
  • Create reliable, scalable, and high-performance AI products

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required

  • 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

  • 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

Original job description

Content provided by the employer

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer with a strong machine learning background, to build customization capabilities such as fine tuning, distillation, model evaluation, prompt optimization, etc.

As a SDE with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.



Key job responsibilities

The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.

About the team
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Work/Life Balance
Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, MA, Boston - 143,700.00 - 194,400.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.