# Machine Learning Engineer, Sequence Models (project Sequoia) Source: https://realanalystjobs.com/job/machine-learning-engineer-sequence-models-project-sequoia-amazon-fe656dab Machine Learning Engineer, Sequence Models (project Sequoia) at Amazon, an on-site role based in New York, New York, USA. Experience level: 3+ Years. Posted on 30 September 2026, read from Amazon's own careers page (Amazon), which RealAnalystJobs re-checks daily and removes the role when it closes. Amazon has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Amazon](https://realanalystjobs.com/companies/amazon) - Location: New York, New York, USA - Work mode: On-site - Posted: Sep 30, 2026 - Employment type: Full time - Experience level: 3+ Years - Source: Amazon's careers page (Amazon), re-checked daily ## Visa sponsorship The posting does not say. Amazon had H-1B petitions approved for 12,010 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/amazon#h1b-record) ## About this role 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 Description from Amazon's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-sequence-models-project-sequoia-amazon-fe656dab) and use Apply now there to reach the employer's application. The listing is re-checked against Amazon's careers page daily and removed when it closes. ## Amazon 583 open analyst roles on Real Analyst Jobs. [More roles at Amazon](https://realanalystjobs.com/companies/amazon) ## More like this ### Other open roles at Amazon - [Business Analyst, S3P Fee](https://realanalystjobs.com/job/business-analyst-s3p-fee-amazon-560637ba), Bengaluru, India (On-site) - [Senior Financial Analyst, Platform Experience Finance Team](https://realanalystjobs.com/job/senior-financial-analyst-platform-experience-finance-team-amazon-e16a1a68), Seattle Washington, USA (On-site) - [Relocation to Spain - Senior Financial Analyst, AWS DC Finance](https://realanalystjobs.com/job/relocation-to-spain-senior-financial-analyst-aws-dc-finance-amazon-45ee3c1c), Comuna De Providencia, Chile - [Senior Financial Analyst, Global Procurement Finance](https://realanalystjobs.com/job/senior-financial-analyst-global-procurement-finance-amazon-68ecbe15), Luxembourg - [Analista de Dados (Control Tower) , CGH7 - Control Tower](https://realanalystjobs.com/job/analista-de-dados-control-tower-cgh7-control-tower-amazon-a4424768), Cajamar, Brazil - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-sequence-models-project-sequoia-amazon-fe656dab) - [Amazon on Real Analyst Jobs](https://realanalystjobs.com/companies/amazon) - [All analyst jobs](https://realanalystjobs.com/jobs)