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Diffusion Jobs in Texas (NOW HIRING)

webAI Inc

AI Research Scientist

Austin, TX · On-site

Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures * Conduct research on model efficiency, quantization, compression, and ...

webAI Inc

AI Research Director

Austin, TX · On-site

Oversee research on LLMs, diffusion and multimodal models, inference optimization, and distributed execution * Advance techniques for compression, quantization, distillation, and privacy-preserving ...

InfoVision, Inc.

Lead Data Science Engineer

Irving, TX

$98K - $129K/yr

... diffusion models, transformers). • Proficiency in Python, TensorFlow, PyTorch, and ML frameworks. • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and MLOps tools. • Solid ...

Diablo Convoy

Digital Multimedia Specialist

Spring, TX

$95K - $105K/yr

Experience with AI image enhancement/generation tools (e.g., Midjourney, DALL · E, Stable Diffusion). * Familiarity with data visualization tools (Tableau, Power BI, or similar). * Background in ...

BDO USA

Gen AI Engineering Lead

Houston, TX · On-site

$97K - $128K/yr

... Stable Diffusion), preferred • Experience in a professional services environment, preferred • AI/ML certifications (e.g., TensorFlow, PyTorch, AWS Certified Machine Learning), preferred • ...

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Diffusion information

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How much do diffusion jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for diffusion in Texas is $20.72, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.51 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.

What are popular job titles related to Diffusion jobs in Texas? For Diffusion jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Diffusion jobs in Texas look for? The top searched job categories for Diffusion jobs in Texas are:
Diffusion jobs near you

AI Research Scientist

webAI Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

About Us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
The AI Research Scientist will contribute to webAI's development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving.
Responsibilities:
  • Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures
  • Conduct research on model efficiency, quantization, compression, and on-device deployment
  • Prototype novel model architectures, training methods, and inference strategies for distributed AI
  • Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance
  • Collaborate with engineering teams to integrate research findings into production systems
  • Stay current on leading research in deep learning, generative AI, and distributed ML
  • Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders
  • Document research findings, contribute to internal papers, and present technical work across the organization
  • Identify emerging technologies and propose research directions aligned with webAI's strategic priorities

Qualifications:
  • 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields
  • Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models
  • Hands-on experience training and fine-tuning large-scale models
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience building datasets, designing experiments, and validating ML model performance
  • Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training
  • Strong problem-solving skills and ability to work independently on complex research tasks
  • Effective communication skills for presenting research findings to diverse audiences
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Preferred Skills
  • Master's or PhD in Machine Learning, Computer Science, AI, or a related field
  • Experience with distributed training, edge inference, or on-device ML
  • Research experience in generative AI, reinforcement learning, or multimodal learning
  • Familiarity with privacy-preserving ML techniques such as federated learning
  • Experience contributing to academic publications, patents, or open-source ML projects
  • Comfort operating in a fast-paced, high-growth startup environment

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match (U.S.-based employees only)
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription (U.S.-based employees only)
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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