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Added 3 mins ago
Software Development Engineer, AWS Transform
Amazon Development Center U.S., Inc.
Boston, MA
…of customers? Amazon is looking for a Software Development Engineer II to join our team and help design, build, and operate systems that power experiences at unprecedented scale. In this…
Added 12 mins ago
Senior Software Engineer, AI Platform
Avantos AI
New York City, NY
We’re looking for a Senior Full Stack Engineer with strong backend and applied AI experience to join our AI engineering team. You’ll productize and scale our intelligence platform while…
Added 13 mins ago
Senior Software Engineer, Backend (Coinbase One)
Coinbase
Remote, United States
We're hiring a Senior Software Engineer, Backend to join the Coinbase One team within the Consumer & Business group. Coinbase One is Coinbase's subscription membership product, offering a…
Added 16 mins ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Missoula, MT
- $100,000 USD / year
As a Frontier Engineer (AI/Agentic), you will make an impact by helping build scalable, cost-optimized, and secure AI-enabled solutions that reimagine business processes and deliver…
Added 17 mins ago
O
[Remote] Machine Learning Engineer
Oracle
Helena, MT
- $68,500 to $158,200 USD / year
As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with…
Added 17 mins ago
Senior Consulting Manager, AI-Led Mainframe Modernization
Cognizant
Helena, MT
…mainframe modernization programs using cloud-native technologies, generative AI, and AI-enabled engineering…
Added 17 mins ago
Consulting Principal, AI-Led Mainframe Modernization
Cognizant
Helena, MT
…leading complex mainframe transformation engagements and applying generative AI and AI-enabled engineering capabilities to accelerate modernization from discovery through cloud migration…
Added 25 mins ago
Senior Software Development Engineer, AWS IAM Data Plane, AWS Identity & Access Management - Data Plane
Amazon
Denver, CO
…customer to securely access their resources while powering generative AI workloads at global…
Added 25 mins ago
O
[Remote] Machine Learning Engineer
Oracle
Denver, CO
- $68,500 to $158,200 USD / year
As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with…
Added 26 mins ago
C
Frontier Engineer (AI/Agentic)
Cognizant
Denver, CO
- $100,000 USD / year
As a Frontier Engineer (AI/Agentic), you will make an impact by helping build scalable, cost-optimized, and secure AI-enabled solutions that reimagine business processes and deliver…
Added 26 mins ago
Senior Consulting Manager, AI-Led Mainframe Modernization
Cognizant
Denver, CO
…mainframe modernization programs using cloud-native technologies, generative AI, and AI-enabled engineering…
Added 26 mins ago
Consulting Principal, AI-Led Mainframe Modernization
Cognizant
Denver, CO
…leading complex mainframe transformation engagements and applying generative AI and AI-enabled engineering capabilities to accelerate modernization from discovery through cloud migration…
Added 26 mins ago
EG
Sr Software Engineer
Eliassen Group
Greenwood Village, CO
- $70 to $77 USD / hour
…enables this process. This team oversees an internally developed Generative AI enablement platform that enables employees to leverage AI capabilities to enhance productivity. This role will…
Added 48 mins ago
Senior AI/ML Engineer
Vizient, Inc.
Chicago, IL · Irving, TX
Hands-on experience building, deploying, and supporting generative AI or machine learning applications in production environments.
Added 48 mins ago
Machine Learning and AI Engineer
Quantum Sky
United States
Quantum Sky is seeking a Machine Learning and AI Engineer to join Matrix, the digital platforms team within Project 137, in the Chief Technology Office. Project 137 develops applied…
Added 1 hour ago
Site Reliability Engineer 4 (Cloud Operations Resilience Engineering)
Capital One
McLean, VA · Richmond, VA
…emerging technologies to join our team. As a Site Reliability Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital…
Added 1 hour ago
AI & Software Engineering Manager
Westinghouse Electric Company, LLC
Cranberry Township, NC
Plan team capacity against the prioritized portfolio, and propose and manage engineer assignments within Data & AI capacity governance.
Added 1 hour ago
AI Application Engineer
Apple
CA
We are seeking a seasoned AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy…
Added 1 hour ago
Associate Software Engineer (Central Tech AI)
MstarInc Morningstar Inc. Legal Entity
United States
Experience using AI tools, platforms, or frameworks (e.g., generative AI tools, machine learning libraries, or AI-assisted development workflows).
Added 1 hour ago
Associate Software Engineer (Central Tech AI) - Partner Link
MstarInc Morningstar Inc. Legal Entity
United States
Experience using AI tools, platforms, or frameworks (e.g., generative AI tools, machine learning libraries, or AI-assisted development workflows).
Added 1 hour ago
AI Enablement Engineer
Everpure
Santa Clara, CA
As an AI Enablement Engineer in Everpure’s Digital Transformation Group (DTG), you will spearhead the journey from generative AI experimentation to enterprise-scale business impact. You…
Added 1 hour ago
Associate Generative AI Engineer
The MITRE Corporation
See Sponsor City, MD
The Generative and Agentic AI Engineering Department works across the full range of US Government agencies to develop, engineer, and deploy advanced AI capabilities that address complex…
Added 1 hour ago
Associate Engineer- AI and Agentics
Exelixis Inc
Alameda, CA
The Associate Engineer - AI and Agentics is responsible for building foundational AI-enabled applications, prototypes, prompts, tests, documentation, and agentic automations while learning…
Added 1 hour ago
AI Product Solutions Lead, Technology Product Management, Vice President
BlackRock
NY
Knowledge of AI and machine learning product development, including generative AI, large language models, AI agents and agentic workflows, prompting, context management, and model…
Added 1 hour ago
Product Engineer - AI-Native Fintech Platform
Sperton Global AS
New York
We're seeking an exceptional Product Engineer who combines strong software engineering fundamentals with product intuition, technical ownership, and a passion for solving complex real-world…

Amazon.com Services LLC

Senior Machine Learning Engineer, SageMaker Inference

Bellevue, WA, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

Are you interested in helping AWS customers by building ML-distributed systems to deploy Generative AI models for inferencing at scale? SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Specifically, the SageMaker Inference Platform enables customers to deploy ML models at scale to run high throughput, low-latency CPU/GPU/Inferentia workloads and monitor the quality of the models and data in production. The team is currently focused on solving core infrastructure problems for Generative AI inference serving needs of both internal and external customers. We're moving fast, and this is a great team to join and make a huge impact on AWS especially in the Generative AI space. To learn more about the product, please visit https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html

Key job responsibilities

Design and implement kernel-level optimizations and inference pipeline improvements that reduce latency and increase throughput for LLM serving workloads.
Profile, benchmark, and tune model inference performance across hardware and software stacks, identifying bottlenecks and delivering measurable gains.
Write well-organized, maintainable code and participate actively in code reviews, providing constructive feedback to peers and mentoring newer engineers on the team.
Collaborate with applied scientists, ML engineers, and infrastructure teams to translate model requirements into production-ready inference solutions.
Evaluate emerging tools, frameworks, and generative AI techniques for inference optimization, recommending adoption where they improve efficiency or quality.

A day in the life 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 conferences.

About the team SageMaker Inference team is innovating and modernizing the inference experience that enables the customers to customize their inference workloads. This is an opportunity to establish technical vision, shape product strategy, and build within a proven, high-growth service. Internal job description

SageMaker is one of the fastest growing AWS services. You will join the founding team in building an end-to-end ML pipeline platform in SageMaker. It represents a unique opportunity to contribute in developing a new pillar for Amazon's ML platform.
Applying ML in real-life is still in its early stage and ML practitioners face similar challenges as software engineering teams faced a decade ago. Our mission is to solve challenges in ML like what DevOps solved for software development over the past 10 years. This is a new area in ML with lots of evolvement in concepts, methodology, and solutions.
We have a deep mix of senior talent presenting itself in Principals and Distinguished Engineers that lead to an extensive level of learning and coaching. This is a great opportunity if you are looking to get into the AI/ML space and want to get hands-on experience building ML platform services at scale.
Our services are built on native AWS. We embrace modern technologies and server-less/micro-service based architectures, which maximize engineering efficiency and operational excellence.

We own AWS SageMaker (https://w.amazon.com/index.php/AWS/AmazonAI/Platform/IronMan) to empower the world to do more and better Machine Learning. This is recent launch from team made GA in Q2 2026 (https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-heterogeneous.html)

We are looking for internal candidates with prior experience building large scale systems, who are excited about getting into the ML domain.

Basic qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team Preferred qualifications
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience with CUDA kernels or ML/low-level kernels
Experience with LLM inference and serving optimization, including kernel tuning (CUDA), latency and throughput tuning, profiling and benchmarking, and model execution techniques such as disaggregated serving and KV caching.

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, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

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More about this job

Skills

Machine learning
AWS
ML
Coaching
Software development
Recruitment
Mental health

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