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

Jan 2027 Job Skill Requirements: - Learning GD&T - CNC programing - Manufacturing problem solving ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

New

Jan 2027 Job Skill Requirements: - Learning GD&T - CNC programing - Manufacturing problem solving ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

New

Jan 2027 Job Skill Requirements: - Learning GD&T - CNC programing - Manufacturing problem solving ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

New

Machining Engineer

Whitakers, NC · On-site

$67K - $100K/yr

Machine Programming - Creates factory floor machine programs by designing and implementing ... Jan 2027 Job Skill Requirements: - Learning GD&T - CNC programing - Manufacturing problem solving ...

New

Jan 2027 Job Skill Requirements: - Learning GD&T - CNC programing - Manufacturing problem solving ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

New

Phd Machine Learning information

See Wilson, NC salary details

$12

$19

$27

How much do phd machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for phd machine learning in Wilson, NC is $19.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.26 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 Wilson, NC are hiring for Phd Machine Learning jobs?

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

Infographic showing various Phd Machine Learning job openings in Wilson, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $41,488 per year, or $19.9 per hour.

Full-time

Posted 2 days ago

New


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 270 frontline employees who took The Breakroom Quiz

115th of 545 rated manufacturers


Job description

Job Summary:

Assists with the plan, design, purchase, and implementation of machining processes and equipment in an industrial plant.

Key Responsibilities:

Assists in the determination of parts and tools needed in order to achieve manufacturing goals such as setup reduction and changeovers according to product specification; works with engineering to identify problems with product and performance and recommends solutions or enhancements. Assists with the design, development, implementation, and analysis of technical products and systems. Performs equipment engineering design evaluations and documents results; may recommend alterations to development and design to improve quality of products and/or procedures. Works to improve equipment availability and capability by utilizing continuous improvement tools and working cross functionally.Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

College Job type: Entry Level Full-time

Degree level: Bachelors

Educational Program: Prefer ME, open to EE, MET

Start date: Jan 2027

Job Skill Requirements: 

-    Learning GD&T
-    CNC programing
-    Manufacturing problem solving
-    Quality control basics 
 

Competencies: 
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Health and Safety Fundamentals - Champions and models proactive health and safety behaviors by identifying, reporting and participating in actions to improve health and safety in order to build an interdependent culture and contribute to an injury-free workplace.
Drawing Interpretation - Integrates product design and manufacturing equipment engineering drawings to support the design and development of an optimal manufacturing process that meets product design specifications.
Equipment/Capital Procurement - Selects manufacturing equipment which meets the Cummins manufacturing specifications and meets the project or program needs. 
Manufacturing Knowledge - Demonstrates the knowledge of manufacturing by correctly implementing changes in current processes, equipment, and applications to meet the function's needs and contribute towards continuous improvement.
Process Documentation - Produces written manufacturing procedures in proper sequence which are followed correctly by all approved stakeholders to establish continuity in processes and standardization.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
Cutting Material Selection - Demonstrates understanding of the different characteristics in materials used in manufacturing processes by correctly identifying factors that impact the production process to select the appropriate material to be used for a specific manufacturing process.
Dimensional Metrology - Applies dimensional measurement science in the development and application of measurement/inspection processes that deliver capable measurement results, supporting design validation and conformity assessment meeting regulatory, customer and product requirements.
Health and Safety - Machine Guarding - Understands and implements Cummins policies, legal and other requirements by applying approved machine guarding standards on existing machines and/or through the design and procurement of new machines/equipment to reduce overall risk to as low as reasonably practicable.
Machine Programming - Creates factory floor machine programs by designing and implementing solutions to improve usage of machine and overall operation.
Material Removal Tooling and Processes - Selects the tools needed to complete a material removal process that meets the product requirements at the lowest total costs to provide products that meet the customer needs.
Measurement Process Design - Applying knowledge of Geometric Dimensioning and Tolerancing principles and knowledge of measurement technology (standards, techniques, equipment, etc) to design a measurement system that can consistently meet industry and customer requirements. 

U.S. Early Careers Eligibility Requirements:

Exempt Entry Level: Designed for external candidates within 2 years of completing their highest level of degree (Bachelor, Master, PhD, MBA, or JD) from an accredited U.S. college/university, and currently reside within the continental U.S.

International Student Eligibility (U.S. based roles): F-1 visa students must have approved Curricular Practical Training (CPT) or Occupational Practical Training (OPT) before their Early Career assignment begin. CPT/OPT must relate to their degree and be authorized by their university. Students are responsible for securing this approval through their school's international office.

Education, Licenses, Certifications: 
College, university, or degree in STEM (Science, Technology, Engineering, Math) or related field, or equivalent experience required.
This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Basic level of relevant work experience required.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919