As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that ...
As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that ...
Member of Technical Staff - ML Infrastructure Engineer, Post-training
Seattle, WA · On-site
$180K - $300K/yr
We are looking for Senior ML Infrastructure Engineers to build the systems that power the frontier of post-training on large language models . This role involves building scalable infrastructure to ...
Member of Technical Staff - ML Infrastructure Engineer, Post-training
Seattle, WA · On-site
$180K - $300K/yr
We are looking for Senior ML Infrastructure Engineers to build the systems that power the frontier of post-training on large language models . This role involves building scalable infrastructure to ...
Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction
Seattle, WA · On-site
$175 - $263.30/hr
Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction Seattle, Washington, United States Software and Services Description As part of the Data and Tooling team, you will help us create ...
Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction
Seattle, WA · On-site
$175 - $263.30/hr
Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction Seattle, Washington, United States Software and Services Description As part of the Data and Tooling team, you will help us create ...
Infrastructure Engineer, AI for Chip Design Full-time · On-site · San Jose, CA · Austin, TX or ... Standing up and scaling AI/ML infrastructure -- GPU clusters and scheduling, distributed training ...
New
Quick apply
Infrastructure Engineer, AI for Chip Design Full-time · On-site · San Jose, CA · Austin, TX or ... Standing up and scaling AI/ML infrastructure -- GPU clusters and scheduling, distributed training ...
New
Infrastructure Engineer
Seattle, WA · On-site
$130K - $225K/yr
As an infrastructure engineer, you'll design, build, and secure the platforms that power our ... Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused ...
Infrastructure Engineer
Seattle, WA · On-site
$130K - $225K/yr
As an infrastructure engineer, you'll design, build, and secure the platforms that power our ... Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused ...
Senior ML Infrastructure Engineer, Proactive
Seattle, WA · On-site
$184.70 - $324.80/hr
We're a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds ...
Senior ML Infrastructure Engineer, Proactive
Seattle, WA · On-site
$184.70 - $324.80/hr
We're a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds ...
Infrastructure Software Engineer
Seattle, WA · On-site
$130 - $170/hr
You'll collaborate closely with the infrastructure team, ML teams, and robotics teams to build ... Improve developer velocity and system reliability through better tooling, automation, observability ...
Infrastructure Software Engineer
Seattle, WA · On-site
$130 - $170/hr
You'll collaborate closely with the infrastructure team, ML teams, and robotics teams to build ... Improve developer velocity and system reliability through better tooling, automation, observability ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Software Engineer, ML Infrastructure, Level 4
Bellevue, WA · On-site
$195K - $231K/yr
We're looking for a Software Engineer to join the ML Platform Experience team , part of the core ML ... Design and optimize infrastructure systems for machine learning workloads at scale and drive ...
Software Engineer, ML Infrastructure, Level 4
Bellevue, WA · On-site
$195K - $231K/yr
We're looking for a Software Engineer to join the ML Platform Experience team , part of the core ML ... Design and optimize infrastructure systems for machine learning workloads at scale and drive ...
... us create the data and infrastructure ecosystem needed to support our ML development and ... Computer Science, Engineering, or related discipline, or equivalent industry experience Pay ...
... us create the data and infrastructure ecosystem needed to support our ML development and ... Computer Science, Engineering, or related discipline, or equivalent industry experience Pay ...
Senior Machine Learning Engineer, ML Infrastructure- Online
Seattle, WA · On-site +1
$187K - $243K/yr
The Role We are seeking a Senior ML engineer to design and evolve Unity Vector's online model inference platform. This role focuses on building reliable infrastructure for serving machine learning ...
Senior Machine Learning Engineer, ML Infrastructure- Online
Seattle, WA · On-site +1
$187K - $243K/yr
The Role We are seeking a Senior ML engineer to design and evolve Unity Vector's online model inference platform. This role focuses on building reliable infrastructure for serving machine learning ...
You will identify and solve the hardest cross-system ML infrastructure challenges, shape multi-year technical roadmaps, and amplify the impact of engineering teams through AI-native workflows and ...
You will identify and solve the hardest cross-system ML infrastructure challenges, shape multi-year technical roadmaps, and amplify the impact of engineering teams through AI-native workflows and ...
Software Engineer, Systems ML Engineering
Bellevue, WA · On-site +1
$183K/yr
Software Engineer, Systems ML Engineering Responsibilities ... Design and implement scalable ML systems infrastructure components, including distributed training ...
Software Engineer, Systems ML Engineering
Bellevue, WA · On-site +1
$183K/yr
Software Engineer, Systems ML Engineering Responsibilities ... Design and implement scalable ML systems infrastructure components, including distributed training ...
Software Engineer, Systems ML Engineering
Seattle, WA · On-site +1
$183K/yr
Software Engineer, Systems ML Engineering Responsibilities ... Design and implement scalable ML systems infrastructure components, including distributed training ...
Software Engineer, Systems ML Engineering
Seattle, WA · On-site +1
$183K/yr
Software Engineer, Systems ML Engineering Responsibilities ... Design and implement scalable ML systems infrastructure components, including distributed training ...
Sr. Manager, Core Infrastructure Engineering
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Sr. Manager, Core Infrastructure Engineering
Seattle, WA · On-site
$123K - $167K/yr
The Strategic Customer Engineering (SCE) Core Infrastructure team-also known as the AI/ML Forward Deployed Infrastructure Engineering team-provides white-glove engineering and operational support to ...
Software Engineer III, AI/ML, Google Cloud AI
Kirkland, WA · On-site
$65.50 - $87.75/hr
... Learning (ML) infrastructure, and contribute to model optimization and data processing ... of experience programming in Python or C++. • 1 year of experience with one or more of the ...
Software Engineer III, AI/ML, Google Cloud AI
Kirkland, WA · On-site
$65.50 - $87.75/hr
... Learning (ML) infrastructure, and contribute to model optimization and data processing ... of experience programming in Python or C++. • 1 year of experience with one or more of the ...
Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...
Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring ... Mentor other engineers on ML infrastructure best practices, debugging methodologies, and ...
AI Training Infrastructure Engineer
Bellevue, WA · On-site
$180 - $240/hr
AI Training Infrastructure Engineer Location: Hybrid | Bellevue, WA Area Titles: Senior and Staff ... Experience supporting large AI models, foundation models, post-training workflows, or similar ML ...
AI Training Infrastructure Engineer
Bellevue, WA · On-site
$180 - $240/hr
AI Training Infrastructure Engineer Location: Hybrid | Bellevue, WA Area Titles: Senior and Staff ... Experience supporting large AI models, foundation models, post-training workflows, or similar ML ...
Ml Infrastructure Engineer information
See Seattle, WA salary details
$52.9K - $66.9K
1% of jobs
$66.9K - $81K
1% of jobs
$81K - $95K
4% of jobs
$95K - $109K
9% of jobs
$109K - $123K
10% of jobs
$123.8K is the 25th percentile. Wages below this are outliers.
$123K - $137K
10% of jobs
The median wage is $142.7K / yr.
$137K - $151K
39% of jobs
$154.1K is the 75th percentile. Wages above this are outliers.
$151K - $165.1K
7% of jobs
$165.1K - $179.1K
10% of jobs
$179.1K - $193.1K
9% of jobs
$193.1K - $207.1K
1% of jobs
$52.9K
$144.6K
$207.1K
How much do ml infrastructure engineer jobs pay per year?
What is the difference between Ml Infrastructure Engineer vs Data Engineer?
| Aspect | ML Infrastructure Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, experience with cloud platforms, scripting, and ML tools | Bachelor's/Master's in CS, experience with databases, ETL, and data pipelines |
| Work Environment | Focus on deploying and maintaining ML systems, cloud infrastructure, and automation | Designing and building data pipelines, managing large datasets, and data storage |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and data-driven industries |
The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.
What are popular job titles related to Ml Infrastructure Engineer jobs in Seattle, WA?
For Ml Infrastructure Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Ml Infrastructure Engineer jobs in Seattle, WA look for?
The top searched job categories for Ml Infrastructure Engineer jobs in Seattle, WA are:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 6 days ago
Oracle rating
8.7
Based on 152 frontline employees who took The Breakroom Quiz
55th of 245 rated software companies
Job description
As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our customers AI and machine learning initiatives.
You will work closely with customer technical teams (data scientists, software engineers, and Infra/IT professionals) and internal cloud services team to ensure their AI/ML solutions are deployed efficiently, securely, and at scale.
Your expertise will be crucial in optimizing our infrastructure for performance, reliability, and cost-effectiveness. In this hands-on technical role you'll troubleshoot issues for proof of concept (POC) and production deployments.
#LI-ES2
Responsibilities
Work with OCI Strategic customers to grow our business in pre/post sales stages in a technical infra expert role.
Take ownership of problems and work to identify solutions.
Ability to think through the solution and identify/document potential issues impacting your customers.
Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows.
Collaborate with scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models.
Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity.
Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques.
Ensure security and compliance standards are met throughout the AI/ML infrastructure stack, including data encryption, access control, and vulnerability management.
Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime.
Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows.
Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability.
As a trusted customer advocate, you will help customers/partners understand best practices around advanced GPU solutions, and how to migrate their workloads to the cloud.
Educate customers of all sizes on the value proposition of Oracle Cloud and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
Act as a technical liaison between customers, core engineering teams, and support
Qualifications:
Experience in scripting and automation using tools like Ansible, Terraform, Python and/or Kubernetes.
Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (like Slurm, PBS, etc.) for managing distributed systems.
Solid understanding of networking concepts, security principles, and best practices.
Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration.
Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.
Preferred Qualifications
Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala
Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus).
Strong experience with High-Performance Computing/GPU systems
ADDITIONAL INFORMATION:
Core Responsibilities
Strategic Thought Leadership:
- You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
Business Experience:
- Understand the challenges in working with large customers.
Planning & Execution:
- Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.
Collaboration & Partnership:
- Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.
Problem Solving:
- Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies.
Continuous Learning:
- Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.
Continuous Improvement:
- Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.
Performance and Development:
- Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations
Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $84,900 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
About Oracle
Sourced by ZipRecruiter
An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Redwood City, CA, US
Year founded
1977