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Phd In Physics Jobs in Raleigh, NC (NOW HIRING)

North Carolina State University

Lecturer

Raleigh, NC · On-site

... physics; core areas of applied mathematics, including matrix analysis, numerical analysis ... PhD in Mathematics * Experience in teaching online/distance education courses in mathematics with ...

ARA

Research Engineer - AI/ML

Raleigh, NC · On-site

PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field * Experience in cloud-based, parallel, or distributed computing. * Experience developing generative AI, agentic AI ...

ARA

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181.20K/yr

PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field * Experience in cloud-based, parallel, or distributed computing. * Experience developing generative AI, agentic AI ...

DataAnnotation

Quantitative Strategist

Raleigh, NC · On-site +1

$60/hr

That's where you come in. As a member of DataAnnotation's team, you'll work closely with ... physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience ...

DataAnnotation

Data Science Consultant

Raleigh, NC · On-site +1

$60/hr

That's where you come in. As a member of DataAnnotation's team, you'll work closely with ... physics, biology, epidemiology, operations research, or any adjacent field. Some coding experience ...

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$10.7K

$59.4K

$91.9K

How much do phd in physics jobs pay per year?

As of May 29, 2026, the average yearly pay for phd in physics in Raleigh, NC is $59,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $62,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Physics, and why are they important?

To thrive as a PhD in Physics, you need advanced knowledge of physical theories, strong analytical skills, and experience in research methodologies, typically supported by a doctoral degree in physics or a related field. Proficiency with data analysis tools (such as MATLAB or Python), laboratory equipment, and scientific publishing systems is commonly required. Critical thinking, problem-solving, and effective communication are crucial soft skills for presenting complex ideas and collaborating with multidisciplinary teams. These skills and qualities are essential for conducting impactful research, advancing scientific understanding, and succeeding in academic or industry settings.

What are the common career paths available to someone with a PhD in Physics outside of academia?

A PhD in Physics opens doors to a wide range of career paths beyond academia, including roles in industry research and development, data science, finance, technology consulting, and government or national laboratories. Many physicists find rewarding careers in sectors like aerospace, energy, and healthcare, leveraging their problem-solving and analytical skills. Collaboration is often key, as you'll work with interdisciplinary teams of engineers, data analysts, and project managers. Transitioning into these roles may involve learning new tools or adapting to different team structures, but the foundational skills from your PhD are highly valued.

What is a PhD in Physics?

A PhD in Physics is the highest academic degree awarded in the field of physics. It involves several years of advanced coursework, independent research, and the completion of a dissertation that contributes original knowledge to the field. Earning a PhD prepares graduates for careers in academia, research, industry, and government, where they can apply their deep understanding of physical principles to solve complex problems. The process typically takes 4-6 years beyond a bachelor's or master's degree.

What is the difference between Phd In Physics vs Physicist?

AspectPhd In PhysicsPhysicist
Required CredentialsDoctoral degree in PhysicsTypically a PhD in Physics or related field
Work EnvironmentResearch labs, universities, academiaResearch institutions, industry, academia
Industry UsageAcademic and research-focused rolesResearch, development, applied physics roles
Search & Comparison IntentUnderstanding academic qualificationsCareer options and job roles

In summary, a Phd In Physics is an academic qualification, while a Physicist is a professional working in research or industry. The Phd is necessary to become a Physicist, but not all Physicists hold a PhD. The roles often overlap in research environments, but the PhD emphasizes education, whereas Physicist roles focus on applying physics principles.

What are popular job titles related to Phd In Physics jobs in Raleigh, NC? For Phd In Physics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Phd In Physics jobs in Raleigh, NC look for? The top searched job categories for Phd In Physics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Phd In Physics jobs? Cities near Raleigh, NC with the most Phd In Physics job openings:
Phd In Physics jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Western Governors University

Raleigh, NC • On-site

$157K - $243.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 hours ago

Western Governors University rating

8.6

Company rating: 8.6 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade: Technical 411
Pay Range: $157,000.00 - $243,400.00
Job Description
The Senior ML Engineer builds and deploys state-of-the-art NLP/LLM models at scale in a cloud environment, with a focus on improving student learning experiences. You lead by example, mentor junior engineers, and collaborate across cross-functional teams. You actively research the latest NLP/LLM techniques and translate them into practical, scalable solutions for the education domain. You communicate clearly with leadership and peers, influence product directions, and drive innovation that challenges the status quo.
Key Responsibilities
  • Strategic leadership

  • Define NLP initiatives, roadmaps, and success metrics in collaboration with the MLE manager.

  • Champion best practices in ML, data governance, and security within the team and across the organization.

  • Mentor junior engineers and serve as a technical lead on complex ML projects.

  • Model research, development, and deployment

  • Research and prototype state-of-the-art NLP/LLM techniques; evaluate and select approaches suitable for production.

  • Develop, train, fine-tune, and optimize production-grade NLP/LLM models.

  • Deploy models to production with emphasis on performance, scalability, reliability, and observability.

  • Data, pipelines, and collaboration

  • Partner with Data Engineering to build robust data processing pipelines and high-quality training/inference data.

  • Work with MLOps to ensure scalable, reproducible deployment, monitoring, and model governance.

  • Collaborate with Software, Infrastructure, and Security teams to integrate ML solutions into the university ecosystem.

  • Product impact and stakeholder engagement

  • Translate business requirements into NLP capabilities; collaborate with product stakeholders to validate outcomes.

  • Apply NLP insights to unstructured data sources (e.g., transcripts, emails, mentor notes) to inform learning experiences.

  • Continuous improvement and learning

  • Stay current with NLP/LLM, DL, and AI trends; proactively apply innovations to use cases.

  • Contribute to standards, guidelines, and documentation for ML practices.

  • Communicate status, risks, and progress to leadership and cross-functional teams.

Minimum Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, Physics, or a related field; or equivalent relevant experience.

  • 5+ years of software development in a cloud environment.

  • 3+ years building large-scale ML/DL models, from POC to production.

  • Hands-on experience with one or more DL frameworks (e.g., PyTorch, TensorFlow).

  • Experience with cloud data platforms (AWS, Azure, GCP) and data/ML tooling (e.g., Databricks, MLFlow, Streamlit).

  • Proficiency in ETL, feature engineering, data visualization.

  • Experience operating high-availability, fault-tolerant, scalable distributed systems with GitOps practices (Terraform preferred).

  • Familiarity with stream processing (ksqlDB, Spark Streaming, Beam/Flink) and modern ML deployment patterns.

  • Strong programming skills in Python, Java/Scala, and/or Go; fluency in clean, maintainable code.

  • Excellent analytical, critical thinking, and problem-solving abilities.

  • Effective written and verbal communication; comfortable explaining technical concepts to non-experts and senior leadership.

  • Ability to thrive in a fast-paced, collaborative environment.

  • Experience guiding junior engineers and providing technical leadership.

Preferred Qualifications
  • PhD in a related field.

  • Experience with Databricks and a broad range of ML tooling.

Equivalents and Substitutions
  • Equivalent relevant experience may substitute for degree requirements (1 year of experience per year of education at the discretion of the Hiring Manager).

#LI-GB1
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.
How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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