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Phd Machine Learning Jobs in Durham, NC (NOW HIRING)

Duke University

Postdoctoral Associate

Durham, NC · On-site

Bridge computer engineering, machine learning, and translational biomedical science. * Develop ... A PhD in Biomedical Engineering, Computer Science, Medical Physics, Computational Biology, Data ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking ... OR PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an ...

Analogdevices

Mixed Signal Engineer Intern

Durham, NC

$22 - $41/hr

Develop and validate machine learning models for analog design automation. * Analyze design data ... Currently enrolled in an Undergraduate, Masters, or PhD program: in Electrical Engineering ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$126.70 - $190.10/hr

... supports our Machine Learning compiler stack. In this role, you will ensure the reliability ... PhD in Computer Science, Engineering, Information Systems, or related field Equal Opportunity ...

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Phd Machine Learning information

See Durham, NC salary details

$13

$22

$29

How much do phd machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for phd machine learning in Durham, NC is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $24.62 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 Durham, NC are hiring for Phd Machine Learning jobs?

Cities near Durham, NC with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $45,869 per year, or $22.1 per hour.

Postdoctoral Associate

Duke University

Durham, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

491st of 628 rated colleges and universities

Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.
Lafata Lab Postdoctoral Associate
Be You.
At Duke, we believe groundbreaking discoveries happen when talented individuals bring their unique experiences, perspectives, and expertise together. As a Lafata Lab Postdoctoral Associate, you will join a highly collaborative and innovative research environment dedicated to advancing translational science through computational pathology, biomedical engineering, and clinical research.
Working alongside multidisciplinary teams of scientists, clinicians, engineers, and data experts, you will contribute to impactful NIH-funded research programs, including active clinical trials, while helping shape the future of precision medicine and tissue microenvironment analysis. Your creativity, curiosity, and scientific rigor will drive new discoveries that improve patient care and deepen our understanding of complex diseases.
Be Bold.
As a key member of the Lafata Laboratory, you will lead the laboratory's computational digital pathology initiatives and develop next-generation analytical approaches to characterize tissue immune microenvironments across oncologic and non-oncologic disease models.
What You'll Do:
Lead Digital Pathology Innovation
  • Design, implement, and maintain advanced quantitative image analysis pipelines for whole-slide tissue imaging.
  • Extract spatial, morphological, and clinically relevant biomarkers to support multi-institutional NIH-funded research and clinical trial activities.
  • Ensure robust, scalable, and reproducible computational workflows.

Develop Spatial and Immune Microenvironment Models
  • Create novel computational models and spatial statistical methodologies to characterize tissue architecture.
  • Quantify immune cell organization, cell-to-cell interactions, and microenvironment dynamics.
  • Advance the understanding of disease processes through innovative spatial analysis techniques.

Build Transformative Computational Solutions
  • Bridge computer engineering, machine learning, and translational biomedical science.
  • Develop modular software tools, simulation frameworks, and machine learning pipelines to support biomarker discovery and validation.
  • Contribute to cross-cohort analyses that accelerate translational research outcomes.

Drive Data Integration and Quality Excellence
  • Oversee data ingestion, quality assurance, and standardization of imaging and clinical datasets from collaborating institutions.
  • Support large-scale clinical trial operations through rigorous data management practices.
  • Foster reproducibility and consistency across complex multi-site research programs.

Advance Scientific Discovery
  • Lead the development of peer-reviewed scientific publications and scholarly presentations.
  • Present findings at national and international scientific conferences.
  • Contribute innovative methodologies, preliminary results, and technical expertise to competitive grant proposals and future funding initiatives.

What You Bring:
  • A PhD in Biomedical Engineering, Computer Science, Medical Physics, Computational Biology, Data Science, or a related quantitative discipline.
  • Experience in computational image analysis, digital pathology, machine learning, or biomedical data science.
  • Strong programming and software development skills.
  • Experience working with complex biomedical, imaging, or clinical research datasets.
  • Excellent scientific communication, collaboration, and problem-solving abilities.
  • A passion for advancing healthcare research through innovative computational methods.

Choose Duke.
At Duke, you'll find more than a postdoctoral opportunity. You'll discover a community committed to excellence, innovation, collaboration, and meaningful impact.
As part of Duke's world-renowned research enterprise, you will:
  • Contribute to cutting-edge NIH-funded translational research.
  • Collaborate with leading experts across medicine, engineering, and computational sciences.
  • Access state-of-the-art research facilities, technologies, and professional development opportunities.
  • Build a strong publication, grant, and scientific leadership portfolio.
  • Help advance discoveries that have the potential to improve patient outcomes and transform healthcare.

Ready to Make a Difference?
Bring your expertise, curiosity, and passion for discovery to Duke. Apply today and help advance the next generation of computational pathology, biomedical innovation, and translational research.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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