--- title: Machine Learning Engineer II, AWS Inference description: Amazon is hiring for the Machine Learning Engineer II, AWS Inference Optimization role in Santa Clara, CA. See the full description and apply. type: job url: https://www.foundrole.com/jobs/machine-learning-engineer-ii-aws-inference-optimization-at-amazon-01a16ecc-88c5-7dd6-b0bc-247649f8a3c8 date: 2026-11-15T01:26:44Z og_description: Join Amazon as Machine Learning Engineer II, AWS Inference Optimization in Santa Clara, CA. Pays $165.2K–$223.6K per year. og_image: https://www.foundrole.com/og/hgjcof.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** | Santa Clara, CA | | **Salary** | $165.2K/yr - $223.6K/yr | | **Type** | Intern | | **Posted** | Oct 24, 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 – $227,000 a year (median $208,000). ## Description Amazon AI is looking for a machine learning engineer to be part of inference optimization team working on optimizing large language OSS models like Qwen, Gemma, gptoss, improving inference performance by development on inference stacks like vLLM, SGLAng, performance tuning of GenAI inference on Amazon Sagemaker, Bedrock and Hyperpod. Work includes implementation of inference optimization techniques like Speculative decoding, Disaggregated Inference and CUDA kernel tuning. As part of the team, you will own price-performance of amazon LLM inference on Sagemaker, Hyperpod and Bedrock. You will be working in a fast-paced, cross-disciplinary team of engineers and researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will deliver these to production in customer facing products. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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. 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. Key job responsibilities As a MLE in Inference Optimization team you will be responsible for the major portion of existing and/or new inference software. List of responsibilities includes but is not limited to developing model servers, developing CUDA kernels in vLLM, SGLang, developing services for GenAI optimization and benchmarking, creating and modifying a mid-size application, or service. ## 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 \- 1+ years of software development engineer or related occupational 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 \- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques ## 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. 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 . USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually ## Skills - C# - AWS SageMaker - Security Panels - Perl - Coding Standards - Code Review - Software Design Patterns - LLM Inference - Software Development - Software Development Life Cycle - Mathematics - Embedded Systems - C++ - Large Language Models (Llm) - Computer Science - Amazon Bedrock - Version Control - Machine Learning - Java ## 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 - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260760 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 - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 6822 jobs ## Related pages - [California](https://www.foundrole.com/locations/us/california?utm_source=ai_markdown) — 260760 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 - [Santa Clara, CA](https://www.foundrole.com/locations/us/california/santa-clara?utm_source=ai_markdown) — 6822 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)