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Ai Math Training Jobs in Texas (NOW HIRING)

Experience designing, training, and optimizing large-scale ML models * Strong understanding of ... Strong mathematical foundation in ML optimization and model theory * Experience integrating novel ...

Formal Verification - AI/ML Engineer

Austin, TX ยท On-site

$134K/yr

... mathematical foundation - whether through academic training (e.g., formal methods, type theory ... Genuine interest in domain-specific AI applications - you are excited about going deep into a ...

... Guide teams in training, fine-tuning, optimizing, and evaluating large language models and ... Engineering, Mathematics, or related field. Preferred : โ€ข Master's or PhD in a technical ...

... training activities. Minimum Education & Experience Requirements: * Master's degree in Operations ... Applied mathematics and statistics. * Cloud development tools and cloud environments for AI, data ...

... Mathematics, or a related field Preferred : โ€ข Master's or PhD in Machine Learning, Computer Science, AI, or a related field โ€ข Experience with distributed training, edge inference, or on-device ML ...

... mathematical foundation - whether through academic training (e.g., formal methods, type theory ... Genuine interest in domain-specific AI applications - you are excited about going deep into a ...

... mathematical foundation - whether through academic training (e.g., formal methods, type theory ... Genuine interest in domain-specific AI applications - you are excited about going deep into a ...

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

... training can easily find connections to. Understand stakeholders' requests and hidden issues and ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

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Ai Math Training information

What are some common challenges faced in an AI Math Training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the Ai Math Training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an AI Math Training job?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are the most commonly searched types of Ai Math Training jobs in Texas? The most popular types of Ai Math Training jobs in Texas are:
What are popular job titles related to Ai Math Training jobs in Texas? For Ai Math Training jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Math Training jobs in Texas look for? The top searched job categories for Ai Math Training jobs in Texas are:
What cities in Texas are hiring for Ai Math Training jobs? Cities in Texas with the most Ai Math Training job openings:
Infographic showing various Ai Math Training job openings in Texas as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Research Director

webAI Inc

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 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 Director will lead webAI's advanced research initiatives across large language models, multimodal systems, edge inference, and distributed AI. This role drives the scientific vision behind our core technologies and works closely with engineering leadership to convert cutting-edge research into production-grade capabilities.
You will oversee research teams, establish long-term research roadmaps, design novel model architectures, and push innovation that directly shapes webAI's platform, model performance, and differentiated technical position. This role is ideal for a hands-on, forward-thinking leader who wants to build what the future of private, distributed AI looks like.
Responsibilities:
  • Lead webAI's AI and ML research strategy including long-term vision, experimentation roadmap, and architectural innovation
  • Oversee research on LLMs, diffusion and multimodal models, inference optimization, and distributed execution
  • Advance techniques for compression, quantization, distillation, and privacy-preserving learning for edge and on-device AI
  • Collaborate with Engineering and Product teams to translate research breakthroughs into scalable production-ready capabilities
  • Build, mentor, and lead a world-class research team fostering creativity, scientific rigor, and innovation
  • Evaluate emerging technologies, academic research, and industry trends to influence strategic direction
  • Design and evaluate experiments, benchmarks, and methodologies for model performance and efficiency
  • Represent webAI in research discussions with customers, partners, and the broader AI community
  • Ensure research initiatives align with customer missions, security requirements, and enterprise needs

Qualifications:
  • You read papers on a daily basis
  • 8+ years of experience in AI, machine learning research, deep learning, or related fields
  • Experience leading research teams and delivering impactful ML innovations
  • Expertise in modern AI architectures including transformers, diffusion models, multimodal systems, and reinforcement learning
  • Experience designing, training, and optimizing large-scale ML models
  • Strong understanding of distributed systems, edge inference, and model efficiency techniques such as quantization and pruning
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
  • Strong research background demonstrated through publications, patents, or deployed innovations
  • Ability to communicate complex concepts clearly to technical and non-technical audiences
  • Bachelor's degree in Computer Science, Engineering, or related field

Preferred Skills
  • Master's or PhD in Machine Learning, Computer Science, AI, Mathematics, or related field
  • Experience with privacy-preserving AI such as federated learning or secure execution
  • Strong mathematical foundation in ML optimization and model theory
  • Experience integrating novel research into production environments
  • Ability to operate in fast-paced, high-growth startup environments

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:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • 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.