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

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

The ideal candidate combines strong technical expertise in Large Language Models (LLMs), Generative ... Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial ...

HP Development Company, L.P.

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 ...

Hp

AI Data Scientist

Spring, TX

$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 ...

Hp

Principal AI Data Scientist

Spring, TX

$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 ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

... 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 ...

Bot Auto

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 ...

Bot Auto

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 ...

Covestro

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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All JobsGenerative Ai Phd JobsGenerative Ai Phd Jobs in Spring, TX

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 28, 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 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 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 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:

Generative Ai Phd jobs near you
Infographic showing various Generative Ai Phd job openings in Spring, TX as of August 2026, with employment types broken down into 55% Full Time, 13% Part Time, 8% Temporary, and 24% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $104,612 per year, or $50.3 per hour.

AI Data Scientist - Enterprise AI

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago

Job description

AI Data Scientist - Enterprise AI
Description -
Enterprise Operations Applied AI Organization
Overview
The Enterprise Operations Applied AI organization is seeking an AI Data Scientist to help design, build, evaluate, and scale AI-driven solutions that deliver measurable business impact across enterprise operations. This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation.
The ideal candidate combines strong technical expertise in Large Language Models (LLMs), Generative AI, machine learning, and large-scale data analysis with the ability to work effectively in complex enterprise environments on multidisciplinary teams. Success in this role requires curiosity, initiative, strong communication skills, and a passion for turning emerging AI technologies into practical business solutions.
This position supports the Enterprise Operations Applied AI organization's mission of enabling AI-powered transformation through applied research, scalable solutions, responsible AI practices, and cross-functional collaboration.
Key Responsibilities
  • Design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Generative AI technologies, machine learning, and predictive analytics.
  • Develop data pipelines, feature engineering approaches, and analytical workflows that support AI solution development.
  • Research new AI methods, tools, and frameworks and determine their applicability to business problems across enterprise operations.
  • Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
  • Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.
  • Translate business requirements into technical approaches and clearly communicate AI concepts to both technical and non-technical audiences.
  • Support adoption of AI solutions through training, demonstrations, documentation, and stakeholder engagement.
  • Collaborate with distributed teams of engineers, data scientists, product owners, business leaders, and other technology organizations to deliver impactful solutions.
  • Contribute to AI best practices, reusable frameworks, and technical standards across the organization.

Required Qualifications
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.
  • 3+ years of experience developing AI, machine learning, and data science solutions.
  • Proficiency in Python and modern AI/ML libraries and frameworks.
  • Experience with model evaluation, experimentation, performance measurement, and validation methodologies.
  • Strong analytical skills with experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.
  • Ability to collaborate effectively in culturally diverse and distributed teams.

Preferred Qualifications
  • 5+ years of experience developing AI, machine learning, and data science solutions in an industry setting.
  • Experience developing AI solutions in cloud environments such as Azure, AWS, or GCP.
  • Proficiency using software development tools such as version control (e.g. Github) and AI-assisted development tools (e.g. Github Copilot)
  • Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents.
  • Familiarity with MLOps, model monitoring, observability, and enterprise AI governance concepts.
  • Experience communicating technical concepts to business stakeholders.
  • Experience working in highly collaborative, matrixed organizations.

What Success Looks Like
A successful AI Data Scientist - Enterprise AI:
  • Builds AI solutions that move beyond prototypes and create measurable business value.
  • Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation.
  • Communicates clearly with product managers, engineers, and operational teams.
  • Takes ownership of outcomes and proactively drives work forward without waiting for direction.
  • Continuously identifies opportunities to improve processes, solutions, and ways of working.

Core Competencies
  • Applied AI & Machine Learning
  • Large Language Models (LLMs) & Generative AI
  • Data Science & Statistical Analysis
  • Enterprise Problem Solving
  • Experimentation & Model Evaluation
  • Communication & Storytelling
  • Cross-Functional Collaboration
  • Ownership & Accountability

This role is ideal for someone who enjoys combining research, engineering, analytics, and business partnership to transform enterprise operations through practical and scalable AI solutions.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America 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 https://hpbenefits.ce.alight.com/

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 -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
No
Relocation -
Not Specified
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"

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