Amazon is hiring: Machine Learning Engineer, Alexa AI in boston

Overview

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background to build capabilities such as fine tuning, distillation, and LLM inference.

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate development of Generative Artificial Intelligence solutions.

Key Responsibilities

• Work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
• Work closely with applied scientists to process data and scale machine learning models.
• Will work in an Agile/Scrum environment to deliver high‑quality software.

About The Team

Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon’s Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state‑of‑the‑art Conversational AI on how customers perceive the assistants they interact with – from the metrics themselves to software applications to deep dive on those metrics – allowing assistant developers to improve their services.

Basic Qualifications

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture of new and existing systems experience
• Experience working with PyTorch or JAX software
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Preferred Qualifications

• Experience working with PyTorch or JAX software, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments
• Experience developing large model hosting platforms, establishing frameworks, and scaling and optimizing inference system.
• Experience developing and maintaining MLOps tools in large organizations.

Equal Opportunity Employer

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Benefits and Compensation

The base salary range for this position is USD 143,700.00 – 194,400.00 annually. 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

Location

USA, MA, Boston

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