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Internship Junior Machine Learning Engineer Jobs in Columbia, SC

Integer

Software Engineer

Columbia, SC · On-site

Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ... Experience mentoring junior developers, conducting peer code reviews, and contributing to a ...

Armis Security

AI Solutions Consultant

North, SC

We're looking for engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be ...

REsimplifi Inc.

Software Developer

Columbia, SC · On-site

Software Developer (Columbia, SC) Design, develop, and maintain backend software systems and ... Integrate data enrichment processes and machine learning models into data processing workflows to ...

Pwc

Payer Healthcare Data Scientist, Manager

Columbia, SC · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

The Nuclear Company

Cost Estimator

Columbia, SC

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

AECOM

Civil Engineer - Roadway/Highway

Columbia, SC

... junior staff, and supporting higher-profile roadway and highway infrastructure projects across ... Interest in learning MicroStation , OpenRoads Designer , and SCDOT plan preparation standards

AECOM

Civil Engineer - Roadway/Highway

Columbia, SC · On-site

... junior staff, and supporting higher-profile roadway and highway infrastructure projects across ... Interest in learning MicroStation , OpenRoads Designer , and SCDOT plan preparation standards

Accura Engineering

Senior Civil Engineer

Columbia, SC · On-site

Provide mentorship to junior engineers, fostering a learning environment that promotes growth, skills development, and team success. * Regulatory Compliance: Ensure that all projects meet applicable ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsMachine Learning Engineer JobsInternship Junior Machine Learning Engineer JobsInternship Junior Machine Learning Engineer Jobs in Columbia, SC

Internship Junior Machine Learning Engineer information

See Columbia, SC salary details

$31K

$66.4K

$101.3K

How much do internship junior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for internship junior machine learning engineer in Columbia, SC is $66,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $74,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Junior Machine Learning Engineer vs Data Analyst Intern?

AspectInternship Junior Machine Learning EngineerData Analyst Intern
Required skillsBasic programming, understanding of ML algorithms, Python, data preprocessingData visualization, SQL, Excel, statistical analysis
Work environmentTech companies, AI startups, research labsBusiness, marketing, finance sectors
Common industry usageDeveloping ML models, data pipelinesInterpreting data, generating reports

Internship Junior Machine Learning Engineers focus on building and optimizing machine learning models, requiring programming and algorithm knowledge. Data Analyst Interns analyze data sets to generate insights, emphasizing visualization and statistical skills. Both roles are entry-level internships but serve different functions within data-driven projects.

What are popular job titles related to Internship Junior Machine Learning Engineer jobs in Columbia, SC? For Internship Junior Machine Learning Engineer jobs in Columbia, SC, the most frequently searched job titles are:
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Jr. Data Scientist - (Canada-based)

Artefact

North, SC

Full-time

Re-posted 23 days ago

Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We've recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

  • Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.
  • Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.
  • Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.
  • Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.
  • Evaluate and select appropriate statistical and machine learning techniques based on business context, constraints, and data availability.
  • Create clear and compelling data visualizations and dashboards to support data storytelling and decision making.
  • Collaborate with cross functional partners in an agile environment and iterate on solutions to maximize business impact.

What we are looking for 

  • The ideal candidate has a substantial quantitative skill set with 5+ years of relevant experience. 
  • Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field.
  • Excellent interpersonal and communication skills
  • Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
  • Proficient in Python (preferred) and/or R

Preferred: 

  • Financial sector experience. 
  • Preference in Causal Inference topics, Time Series, Advanced Statistics
  • Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform

Why you should join us

  • We are united by our values and strengthened by our hybrid expertise.
  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Apply