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Diffusion Jobs in Washington (NOW HIRING)

Senior Principal, ML/AI

North Bethesda, MD · On-site

$125K - $173K/yr

Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases * Excellent cross-functional collaboration skills ...

MRI Technician

Bethesda, MD · On-site

$74K - $124K/yr

Perform clinical and research MRI procedures on patients and animals, including standard clinical and more specialized MRI procedures such as functional MRI, diffusion MRI, MRS, or animal scans.

Senior Principal, ML/AI

North Bethesda, MD

$125K - $173K/yr

Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases * Excellent cross-functional collaboration skills ...

Lead Staff Engineer - ATE Process DIR

Manassas, VA · On-site

$103K - $134K/yr

Position requires: 1) Semiconductor Process in Diffusion, Implant and Rapid Thermal Process areas 2) Sub 20nm DRAM technology 3) Technology transfer between high volume manufacturing fabrications 4) ...

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Showing results 1-20

Diffusion information

See Washington salary details

$14

$25

$37

How much do diffusion jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for diffusion in Washington is $25.18, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in diffusion engineering roles, and how can they be addressed?

Professionals in diffusion engineering often encounter challenges such as managing complex simulations, ensuring accuracy in predicting material behavior, and integrating multidisciplinary knowledge from chemistry, physics, and engineering. Collaborating closely with cross-functional teams, maintaining up-to-date knowledge of modeling software, and participating in regular team reviews can help address these challenges. Seeking mentorship and ongoing training can also enhance problem-solving skills and keep professionals competitive in this evolving field.

What are the key skills and qualifications needed to thrive as a Diffusion Engineer, and why are they important?

To thrive as a Diffusion Engineer, you need a strong background in materials science, chemical engineering, or physics, often with a relevant degree and experience in semiconductor manufacturing. Proficiency with diffusion furnaces, process control systems, and statistical process control (SPC) tools is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for success in this role. These competencies ensure precise process optimization, yield improvement, and the reliable production of semiconductor devices.

What are diffusion jobs?

Diffusion jobs typically refer to roles involved in the study or application of diffusion processes, which is the movement of particles from regions of higher concentration to lower concentration. These jobs are common in scientific fields such as chemistry, physics, materials science, and engineering. Professionals in diffusion-related roles may conduct experiments, analyze data, and develop models to understand how substances interact and spread. They might also work in industries like pharmaceuticals, energy, or manufacturing, where diffusion processes are critical to product development and quality control.

What is the difference between Diffusion vs Data Scientist?

AspectDiffusionData Scientist
Required CredentialsTypically requires knowledge of diffusion models, physics, or related fieldsRequires degrees in computer science, statistics, or related fields; often includes certifications in data analysis
Work EnvironmentResearch labs, AI development companies, or tech firms focusing on machine learning modelsTech companies, finance, healthcare, and other industries analyzing large datasets
Employer & Industry UsageUsed in AI research, image generation, and physics simulationsApplied in data analysis, predictive modeling, and business intelligence

Diffusion specialists focus on developing and applying diffusion models in AI and physics contexts, while Data Scientists analyze data to extract insights and build predictive models. Both roles require technical skills but differ in their core focus and industry applications.

Infographic showing various Diffusion job openings in Washington as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution, with an average salary of $52,382 per year, or $25.2 per hour.
Senior Principal, ML/AI

Senior Principal, ML/AI

Xometry

North Bethesda, MD • On-site

$125K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligence to join our team. You will serve as a technical leader for large, cross-functional ML/AI initiatives that have significant and lasting business impact. You will own and drive an 18- to 24-month technical roadmap that balances innovation with business value delivery. You will work closely with engineering, product, design, manufacturing operations, and business leadership to influence partner roadmaps and resourcing. You will be a respected subject-matter expert, proactively removing roadblocks for teams and tackling problems beyond your immediate scope. You will identify and lead on opportunities to drive revenue growth, cost reduction, efficiency improvement, and competitive differentiation - especially in areas involving 2D/3D part understanding, generative AI, and advanced machine-learning platforms.
How You'll Contribute:
  • Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry's business
  • Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
  • Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
  • Proactively identify and remove roadblocks for teams and projects - whether technical, operational, data-related, or resource constraints
  • Mentorship of individuals and technical teams
  • Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
  • Play a leadership role in identifying areas of opportunity - e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
  • Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
  • Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech; translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization
  • Consistently scrutinize existing work, identify opportunities for incremental growth and efficiency optimization - whether in inference latency, model retraining intervals, feature pipelines, cost of compute, or automation of manual tasks

What You'll Bring to Xometry:
  • Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
  • 12+ years of professional experience in machine learning, artificial intelligence, or data science roles - with several years in senior or principal capacity leading major programs
  • Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
  • Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
  • Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
  • Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
  • Proven ability to influence without direct authority and drive change across organizations
  • Strong communication and presentation skills; you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
  • Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency
  • Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth

The estimated base salary range for new hires into this role is $150,000- $196,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013