... Amazon SageMaker - Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO) - Develop and enhance preference learning ...
... Amazon SageMaker - Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO) - Develop and enhance preference learning ...
Senior Machine Learning Engineer
$102K - $140K/yr
Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment. * Collaborate closely with data engineers, data scientists, and product ...
Senior Machine Learning Engineer
$102K - $140K/yr
Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment. * Collaborate closely with data engineers, data scientists, and product ...
Senior Business Analyst
Washington, DC · Remote
$45 - $50/hr
The current environment is on Agile Scrum, and the team is using technologies such as Snowflake, AWS Bedrock, and Amazon SageMaker. Core business hours is 9-5 PM EST, hired resource may start from 7 ...
Quick apply
Senior Business Analyst
Washington, DC · Remote
$45 - $50/hr
The current environment is on Agile Scrum, and the team is using technologies such as Snowflake, AWS Bedrock, and Amazon SageMaker. Core business hours is 9-5 PM EST, hired resource may start from 7 ...
MLOps Engineer
Dallas, TX · Hybrid
$55.50 - $74/hr
Its hybrid and 3 days onsite Technical Skills: o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management. o Cloud Knowledge: A deep ...
MLOps Engineer
Dallas, TX · Hybrid
$55.50 - $74/hr
Its hybrid and 3 days onsite Technical Skills: o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management. o Cloud Knowledge: A deep ...
Java Tech Lead
Alpharetta, GA · On-site
Strong experience with Amazon SageMaker, Amazon Bedrock, and Amazon Jumpstart. * Hands-on expertise in generative AI models. * Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
Java Tech Lead
Alpharetta, GA · On-site
Strong experience with Amazon SageMaker, Amazon Bedrock, and Amazon Jumpstart. * Hands-on expertise in generative AI models. * Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive ...
We are seeking a highly skilled ML/Data Engineer to lead model development, experiment tracking, and end to end machine learning operations across Domino and Amazon SageMaker. This role will drive ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics ...
Machine Learning OP's Engineer - Lead (Hybrid)
Manhattan, NY · On-site
$112K - $148K/yr
Building and managing ML infrastructure on cloud platforms , with a focus on Amazon SageMaker . * Optimizing model performance and resource utilization in production environments. * Monitoring model ...
Machine Learning OP's Engineer - Lead (Hybrid)
Manhattan, NY · On-site
$112K - $148K/yr
Building and managing ML infrastructure on cloud platforms , with a focus on Amazon SageMaker . * Optimizing model performance and resource utilization in production environments. * Monitoring model ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow. * Monitoring & Troubleshooting
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow. * Monitoring & Troubleshooting
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Data Engineer
Suitland, MD · On-site
$123K - $148K/yr
... tools like Amazon SageMaker, MLflow, or Kubeflow. • Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great ...
Technical Program Manager
Exton, PA · On-site
$124K - $161K/yr
... Amazon SageMaker are productionready and aligned to delivery timelines Edge & Industrial Integration Drive programs that integrate vision outputs into: Dashboards and operational tools APIs and ...
Technical Program Manager
Exton, PA · On-site
$124K - $161K/yr
... Amazon SageMaker are productionready and aligned to delivery timelines Edge & Industrial Integration Drive programs that integrate vision outputs into: Dashboards and operational tools APIs and ...
Lead Data Engineer - AWS
Dallas, TX · Remote
$104K - $138K/yr
Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...
Quick apply
Lead Data Engineer - AWS
Dallas, TX · Remote
$104K - $138K/yr
Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...
Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models. Proficiency in data preparation and analytics using Dataiku. Solid understanding of core ...
Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models. Proficiency in data preparation and analytics using Dataiku. Solid understanding of core ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and ...
Lead Data Engineer - AWS
Dallas, TX · On-site +1
$101K - $133K/yr
Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...
Lead Data Engineer - AWS
Dallas, TX · On-site +1
$101K - $133K/yr
Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications. * Vector Foundations: Implement and optimize vector search capabilities ...
Amazon Sagemaker information
See salary details
$23K - $32K
3% of jobs
$32K - $41K
6% of jobs
$41K - $50K
10% of jobs
$58.3K is the 25th percentile. Wages below this are outliers.
$50K - $59K
6% of jobs
$59K - $68K
12% of jobs
The median wage is $75.7K / yr.
$68K - $77K
15% of jobs
$77K - $86K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$86K - $95K
13% of jobs
$95K - $104K
10% of jobs
$104K - $113K
9% of jobs
$113K - $122K
4% of jobs
$23K
$77.1K
$122K
How much do amazon sagemaker jobs pay per year?
As of Jun 8, 2026, the average yearly pay for amazon sagemaker in the United States is $77,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $96,000.00 per year, depending on experience, location, and employer.
What is Amazon SageMaker?
Amazon SageMaker is a fully managed machine learning service provided by AWS that allows developers and data scientists to build, train, and deploy machine learning models quickly and at scale. It offers a range of tools for every stage of the ML workflow, including data labeling, model training, tuning, and deployment. SageMaker supports popular ML frameworks and integrates with other AWS services, making it easier to operationalize machine learning in the cloud. Its managed infrastructure helps reduce the time and complexity involved in developing ML solutions.
What are some common challenges faced by professionals working with Amazon SageMaker, and how can they be addressed?
Professionals working with Amazon SageMaker often encounter challenges such as managing large datasets, optimizing model training costs, and integrating SageMaker with other AWS services or existing data pipelines. Addressing these challenges typically involves leveraging SageMaker's built-in data preprocessing features, using managed spot training to reduce costs, and collaborating closely with data engineering and DevOps teams to ensure seamless integration. Regularly reviewing AWS documentation and best practices can also help professionals stay updated on new features and solutions.
What are the key skills and qualifications needed to thrive as an Amazon SageMaker Machine Learning Engineer, and why are they important?
To excel as an Amazon SageMaker Machine Learning Engineer, you need strong expertise in machine learning concepts, data preprocessing, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with AWS SageMaker, cloud infrastructure, version control systems like Git, and relevant certifications such as AWS Certified Machine Learning – Specialty are highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills are vital for building, deploying, and maintaining scalable machine learning solutions that drive business value.
More about Amazon Sagemaker jobs
What states have the most Amazon Sagemaker jobs? States with the most job openings for Amazon Sagemaker jobs include:
What job categories do people searching Amazon Sagemaker jobs look for? The top searched job categories for Amazon Sagemaker jobs are:
Amazon rating
7.4
Based on 6,823 frontline employees who took The Breakroom Quiz
7th of 39 rated national retailers
Job description
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.
As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.
Key job responsibilities
- Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation
- Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker
- Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO)
- Develop and enhance preference learning algorithms and training curricula for customer-specific applications
- Create robust evaluation frameworks for assessing model performance across different domains and use cases
- Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment
- Design and implement secure access mechanisms for early model checkpoints and weights
- Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US