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Phd Machine Learning Jobs in Houston, TX (NOW HIRING)

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

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 ...

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 ... Strong foundation in data science and core machine learning concepts. * Experience with large ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

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 ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

... as machine learning, optimization, and cluster analysis. The incumbent will lead and help to ... A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for phd machine learning in Houston, TX is $21.78, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $24.33 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

What cities near Houston, TX are hiring for Phd Machine Learning jobs?

Cities near Houston, TX with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $45,309 per year, or $21.8 per hour.

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX

Full-time

Re-posted 2 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Baylor College of Medicine and Department Summary:

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.

This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.

The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.

Job Duties

VITAL Lab Development & Leadership

  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

________________________________________

AI & Data Platform Development

  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

________________________________________

Research & Academic Contributions

  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

________________________________________

Clinical & Translational Collaboration

  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

________________________________________

Education & Mentorship

  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science
Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:

  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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