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Entry Level Machine Learning Engineer Jobs in Kinston, NC

RedGuard

Lot Technician - SiteBox Storage

Greenville, NC · On-site

$19.50 - $23/hr

Begins learning and performing basic maintenance tasks in carpentry, plumbing, HVAC, electrical ... machinery and/or power tools. Occasionally required to operate motor vehicles or heavy equipment.

Airbus

Tooling Maintenance Technician

Kinston, NC · On-site

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Your Challenges: • Dismantles, moves, assembles, installs, and repairs industrial machinery and ...

Ag

Tooling Maintenance Technician

Kinston, NC

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Moves machinery and equipment using hoist, dollies, rollers, and trucks. Assembles and installs ...

Ag

Production Scheduler Advanced

Kinston, NC

MPS planning, need dates, industrial capabilities (machines, tools, workshop facilities ... Collaborate closely with all site functions (Program, Manufacturing engineering, materials ...

Airbus

Production Scheduler Advanced

Kinston, NC · On-site

MPS planning, need dates, industrial capabilities (machines, tools, workshop facilities ... engineering input and quality input. Outputs: Weekly Production Schedule, dashboards (workload ...

Valicy

Studio Coordinator

Greenville, NC · On-site

$12.50 - $16.25/hr

We also make the machines they run on. What we're building matters. How we treat people matters ... engineering, art, QA, tools, and leadership to keep work visible and moving. -Adapt quickly as ...

Airbus

Composite Technician

Kinston, NC · On-site

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Follows engineering and manufacturing specifications and orders to determine parts to be bonded and ...

Ag

Composite Technician

Kinston, NC

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Follows engineering and manufacturing specifications and orders to determine parts to be bonded and ...

Ag

Composite Technician

Kinston, NC

... learning courses focusing on ways to develop your employability, certifications, career path; as ... Follows engineering and manufacturing specifications and orders to determine parts to be bonded and ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Kinston, NC

Entry Level Machine Learning Engineer information

See Kinston, NC salary details

$28K

$64.8K

$110.2K

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

As of Jul 15, 2026, the average yearly pay for entry level machine learning engineer in Kinston, NC is $64,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $73,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

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 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 is an Entry Level Machine Learning Engineer job?

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 the most commonly searched types of Machine Learning Engineer jobs in Kinston, NC? The most popular types of Machine Learning Engineer jobs in Kinston, NC are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Kinston, NC? For Entry Level Machine Learning Engineer jobs in Kinston, NC, the most frequently searched job titles are:
What cities near Kinston, NC are hiring for Entry Level Machine Learning Engineer jobs? Cities near Kinston, NC with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Greenville, NC

$125K/yr

Other

Posted 14 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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