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Machine Learning Infrastructure Engineer Jobs in Washington

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... infrastructure. Our customers and collaborators include top universities from around the world ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Build infrastructure for large-scale distributed experimentation. * Develop CI/CD workflows ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118.20K - $162.30K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... You will be helping our military defend our cyber security infrastructure by delivering software ...

Capital One

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ...

Capital One

Senior Machine Learning Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ...

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Machine Learning Infrastructure Engineer information

See Washington salary details

$52.7K

$143.9K

$206.1K

How much do machine learning infrastructure engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning infrastructure engineer in Washington is $143,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $159,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are the key skills and qualifications needed to thrive in the Machine Learning Infrastructure Engineer position, and why are they important?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.
More about Machine Learning Infrastructure Engineer jobs
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What cities in Washington are hiring for Machine Learning Infrastructure Engineer jobs? Cities in Washington with the most Machine Learning Infrastructure Engineer job openings:
Machine Learning Infrastructure Engineer jobs near you
Infographic showing various Machine Learning Infrastructure Engineer job openings in Washington as of May 2026, with employment types broken down into 86% Full Time, 8% Part Time, 5% Contract, and 1% Summer. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $143,915 per year, or $69.2 per hour.
Senior Infrastructure Engineer

Senior Infrastructure Engineer

Fantom Corporation

Chantilly, VA • On-site

$111.10K - $151K/yr

Full-time

Posted 25 days ago

Job description

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.
 
We are seeking a skilled Senior Infrastructure Engineer to join our team and contribute to meaningful, mission-driven work for our customer.
 
The Senior Infrastructure Engineer is responsible for supporting and optimizing the core infrastructure of a datacenter environment. This role ensures the stability, performance, and scalability of servers, networks, storage systems, and supporting physical infrastructure. The engineer applies deep technical expertise to maintain reliable operations while planning and documenting future infrastructure growth.
 
Responsibilities
  • Manage and maintain datacenter infrastructure, including servers, networking, and storage platforms, to ensure high availability and performance
  • Configure, operate, and troubleshoot Cisco switches and firewalls to support secure and reliable network connectivity
  • Deploy and support enterprise server hardware, including HPE and Dell systems, to meet operational and scalability requirements
  • Manage and maintain storage environments, including Network Attached Storage solutions from vendors such as Dell, HPE, and PureStorage
  • Support copper and fiber cabling infrastructure to ensure proper connectivity and organization throughout the datacenter
  • Plan and manage power and cooling capacity to optimize resource utilization and support infrastructure growth
  • Create and maintain detailed infrastructure diagrams and documentation using tools such as Visio or DrawIO
  • Support datacenter planning efforts by documenting rack layouts, physical connections, and network topology
  • Troubleshoot and resolve complex infrastructure issues across hardware, networking, and storage components
Qualifications
  • Experience working in datacenter environments with a strong foundation in datacenter operations
  • Experience planning and managing power and cooling capacity
  • Hands-on experience configuring and supporting hardware and network infrastructure
  • Proven ability to manage complex, enterprise-scale infrastructure environments
  • Strong understanding of enterprise hardware and networking solutions
  • Familiarity with Cisco networking equipment, HPE and Dell server platforms, and advanced storage technologies
  • #CJ
Requirements
  • Must be fully cleared with a recent polygraph
  • Must be willing and able to work fully onsite at the location listed in this posting
Fantom Corp is a Software Development, Agile Cloud, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.