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

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field* Experience ...

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

... development of machine learning tools and their applications to medical imaging. Key ... and a PhD in computer science, electrical engineering, biomedical engineering, biomedical ...

... development of machine learning tools and their applications to medical imaging. Key ... and a PhD in computer science, electrical engineering, biomedical engineering, biomedical ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

... Machine Learning compiler stack. The role involves ensuring the reliability, performance, and ... PhD in Computer Science, Engineering, Information Systems, or related field Preferred : • ...

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

Showing results 21-40

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:

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.

Engineering Manager, AI Developer Technology

Nvidia

Durham, NC • Hybrid

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are now looking for an AI Developer Technology Engineering Manager:

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.

What you'll be doing:

  • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

  • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

  • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

  • Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

  • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

  • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

  • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

  • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations

  • Excellent written and presentation skills.

  • Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

  • A PhD in a relevant field

  • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

  • Proven experience with recruiting top talent.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US