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Generative Ai Phd Jobs in Spring, TX (NOW HIRING)

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving ... PhD related to AI or a Master's degree in computer science or a related field and 5+ years of ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving ... PhD related to AI or a Master's degree in computer science or a related field and 5+ years of ...

Principal AI Data Scientist

Spring, TX · On-site

$147K - $230K/yr

PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of experience. * Relevant experience must involve Generative AI and related technologies including machine ...

... generative AI applications and implementing MLOps in production * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred) * Track record of ...

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion ...

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions ... MSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science ...

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

Partner with data scientists and Generative AI Engineers to optimize model performance and ... OR PhD with 3+ years experience * 3+ years of experience in AI/ML engineering, with demonstrated ...

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Generative Ai Phd information

See Spring, TX salary details

$25.8K

$104.6K

$202.4K

How much do generative ai phd jobs pay per year?

As of Aug 6, 2026, the average yearly pay for generative ai phd in Spring, TX is $104,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $150,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a generative AI PhD?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

What are popular job titles related to Generative Ai Phd jobs in Spring, TX? For Generative Ai Phd jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Generative Ai Phd jobs in Spring, TX look for? The top searched job categories for Generative Ai Phd jobs in Spring, TX are:
What cities near Spring, TX are hiring for Generative Ai Phd jobs? Cities near Spring, TX with the most Generative Ai Phd job openings:
Infographic showing various Generative Ai Phd job openings in Spring, TX as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $104,612 per year, or $50.3 per hour.

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 25 days ago


Job description

AI Data Scientist
Description -
About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.
As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.
Responsibilities
• Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Strategizes models to uncover patterns and predictions creating business value and innovation.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended
  • PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
  • Strong foundation in data science and core machine learning concepts.
  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.
  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.
  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.
  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.

The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"