---
title: Machine Learning Engineer, Sequence Models at Amazon
description: Amazon is hiring for the Machine Learning Engineer, Sequence Models role in New
  York, NY. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/machine-learning-engineer-sequence-models-at-amazon-01a0f39c-2201-799f-a5eb-23d679ff3fd9
date: 2026-11-15T01:26:44Z
og_description: Join Amazon as Machine Learning Engineer, Sequence Models in New York, NY. Pays
  $158.1K–$213.8K per year. Full-time role.
og_image: https://www.foundrole.com/og/m0jnh5.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) |
| **Location** | New York, NY |
| **Salary** | $158.1K/yr - $213.8K/yr |
| **Type** | Intern |
| **Posted** | Sep 30, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Amazon sponsors H-1B visas. It filed 25,968 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Amazon.

## Pay for similar jobs

Most similar jobs pay $178,000 – $203,000 a year (median $181,000).

## Description

The Sequence Models team serves a centralized role developing sequence models to fundamentally understand Amazon's customers' journeys across all Amazon products (including Stores, Prime Video, Audible, Music, Twitch, etc.). These models will unlock new, actionable insights to optimize the customer experience, including when and how we serve ads. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.  

As the Machine Learning Engineer on the team, you will deliver on our engineering vision to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of ML models. You will invent and design new solutions to solve complex challenges that come with petabyte scale storage.  

Key job responsibilities  
\- Build and scale ML infrastructure across data processing, distributed training, and model serving. Optimize GPU utilization, training throughput, serving latency, and Infra costs.  
\- Own the data pipelines that feed model training, including ingestion of structured and unstructured inputs, schema evolution, backfills, and data quality checks across upstream sources.  
\- Partner with Applied Scientists to shorten the time from experiment to production.  
\- Evolve model serving and feature delivery to support continuous experimentation.  
\- Establish automated, repeatable processes for large-scale data analysis, model training, validation, and deployment.  
\- Own operational excellence for high-volume, low-latency production systems, including monitoring, alarming, troubleshooting, and on-call.

## Basic Qualifications

\- 3+ years of non-internship professional software development experience  
\- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience  
\- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field  
\- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution  
\- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

## Preferred Qualifications

\- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience  
\- Knowledge of machine learning model architecture and inference  
\- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations  
\- Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems  

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, NY, New York - 158,100.00 - 213,800.00 USD annually
## Skills

- C#
- Debugging
- AI Accelerators
- Perl
- Coding Standards
- Code Review
- Tensor Processing Unit (Tpu)
- Software Development
- Software Development Life Cycle
- Mathematics
- Embedded Systems
- C++
- GPU (Graphics Processing Unit)
- Large Language Models (Llm)
- Performance Profiling
- Computer Science
- Version Control
- Machine Learning
- Java
- Distributed Systems
## Benefits

- Mental Health
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Parental Leave
- Paid Time Off (Pto)
- 401(k) Plans
- Employee Stock Options (ESOs)

## Related

- [More jobs at Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown)
- [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Machine Learning & AI jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai?utm_source=ai_markdown)- [Artificial Intelligence Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer?utm_source=ai_markdown)- [Machine Learning Engineer jobs](https://www.foundrole.com/careers/data-and-analytics/machine-learning-and-ai/artificial-intelligence-engineer/machine-learning-engineer?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)

## Explore this job market

- [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150114 jobs
- [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66067 jobs
- [Internet Marketplace Platforms](https://www.foundrole.com/sectors/technology/internet-marketplace-platforms?utm_source=ai_markdown) — 63042 jobs
- [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) — 20341 jobs

## Related pages

- [New York](https://www.foundrole.com/locations/us/new-york?utm_source=ai_markdown) — 150114 jobs
- [New York, NY](https://www.foundrole.com/locations/us/new-york/new-york?utm_source=ai_markdown) — 66067 jobs
- [Internet Marketplace Platforms](https://www.foundrole.com/sectors/technology/internet-marketplace-platforms?utm_source=ai_markdown) — 63042 jobs
- [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) — 20341 jobs

## Browse

- [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown)
- [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown)
- [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown)
- [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown)
- [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown)
- [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown)
- [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown)
- [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)