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Entry Level Machine Learning Engineer Jobs in Raleigh, NC

Winaxis

AI Engineer

Raleigh, NC · On-site

$94K - $129K/yr

Basic understanding of Machine Learning concepts and NLP. Familiarity with Generative AI and Large Language Models. Knowledge of AI frameworks such as LangChain, LlamaIndex, or similar is a plus.

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... engineering logs. ● Ensure safe and organized work areas in labs and on production floors. ● ...

Symbrium, Inc.

Be Seen First

Entry-Level Mechanical Engineer - Machine Design & Build

Raleigh, NC · On-site

$65K - $75K/yr

You will work directly with experienced engineers, designers, machinists, technicians, vendors, and machine builders. One day you may be reviewing a machine assembly in SolidWorks, the next you may ...

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Entry Level Machine Learning Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level machine learning engineer in Raleigh, NC is $67,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Raleigh, NC?

The most popular types of Machine Learning Engineer jobs in Raleigh, NC are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Raleigh, NC?

For Entry Level Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Raleigh, NC with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 70% Full Time, 22% Part Time, and 6% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $67,422 per year, or $32.4 per hour.

Learning Technology Engineer - PT

Durham, NC • On-site

Duke University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Duke Universityexternal

Part-time

Posted 12 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

Job description

Learning Technology Engineer, Open Academy
Be You. Be Bold. Choose Duke.
Be You.
At Duke University, technology plays a critical role in advancing teaching, learning, and innovation. As a Learning Technology Engineer on the Digital Experience and Academic Technology Services (DEATS) team within Duke Office of Information Technology (OIT), you will help shape the digital learning experience for faculty, students, and academic partners across the university.
In this role, you will serve as a key contributor to the success of the Open Academy Platform, a growing learning technology solution that supports academic programs, courses, and innovative educational experiences. You will collaborate with faculty, researchers, developers, and instructional partners to enhance the platform, support users, and identify opportunities for continuous improvement.
The ideal candidate is curious, customer-focused, and passionate about leveraging technology to advance teaching and learning. You enjoy solving problems, translating technical concepts for diverse audiences, and partnering with stakeholders to create engaging digital experiences.
Minimum Qualifications
Education
Bachelor's degree in Computer Science, Information Technology, Educational Technology, or a related field; or an equivalent combination of education and relevant experience.
Experience
  • Demonstrated ability to troubleshoot technology issues and partner with users, stakeholders, and vendors to resolve problems effectively.
  • Ability to manage multiple priorities simultaneously while exercising sound judgment and delivering exceptional customer service.
  • Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences through various communication channels.

Preferred Qualifications
  • Understanding of instructional design, pedagogy, and the role technology plays in supporting teaching and learning.
  • Experience supporting higher education teaching and learning environments.
  • Experience developing project plans, schedules, scope documents, or service-related deliverables.
  • Ability to gather, analyze, and interpret user feedback and system performance metrics.
  • Experience developing and delivering presentations, workshops, or training sessions.
  • Previous experience working within an academic technology or educational technology organization in higher education.

Work Arrangement
This position follows a hybrid work arrangement, with up to 80% remote work flexibility available. Occasional evening and weekend support may be required to meet business needs.
*This is a part-time, one-year, term-limited position.
Be Bold.
As a Learning Technology Engineer, you will:
  • Provide functional leadership, technical support, and user engagement for the Open Academy Platform while serving as a key resource for faculty, staff, and students.
  • Act as a liaison and backup point of contact with platform developers to support system enhancements, issue resolution, and continuous improvement efforts.
  • Consult with faculty and academic partners to identify effective ways to incorporate Open Academy into courses, programs, and innovative learning experiences.
  • Analyze user feedback, usage trends, and performance metrics to develop recommendations that improve services and enhance the learning experience.
  • Support emerging teaching and learning initiatives by partnering with faculty on experimental and innovative uses of the platform.
  • Develop and maintain training materials, online resources, documentation, workshops, webinars, and web content that empower users to successfully leverage Open Academy.
  • Maintain expertise in teaching and learning technologies and related OIT services, including virtual machines, Jupyter environments, Git, and other academic technology tools.

Choose Duke.
Join a team that is transforming how technology supports teaching, learning, and academic innovation. Within Duke OIT's Digital Experience and Academic Technology Services team, you will partner with faculty, researchers, and educational leaders to deliver impactful technology solutions that advance Duke's mission of education, research, and service.
At Duke, you will find a collaborative environment that values innovation, continuous learning, inclusion, and professional growth. Your work will directly support faculty and students while helping shape the future of digital education at one of the world's leading research universities.
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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