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Internship Junior Machine Learning Engineer Jobs in Columbia, 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 ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Mentoring, coaching and learning programs * Employee Resource Groups * Disaster Relief Disclaimer ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

Advertised Job SummaryTo provide research in the simulations and machine learning for the ... Programming skills in Python, Pytorch, C++, C or Fortran Preferred Qualifications Preferred ...

... 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 ...

Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production. * Comfort operating with ambiguity. Research ...

... R, or SAS programming expertise Machine Learning (Supervised & Unsupervised) Predictive Analytics & Statistical Modeling Tableau or Qlik Data Visualization Experience leading cross-functional ...

Showing results 21-40

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 Sep 6, 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:

What job categories do people searching Internship Junior Machine Learning Engineer jobs in Columbia, SC look for?

The top searched job categories for Internship Junior Machine Learning Engineer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Internship Junior Machine Learning Engineer jobs?

Cities near Columbia, SC with the most Internship Junior Machine Learning Engineer job openings:

Infographic showing various Internship Junior Machine Learning Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,424 per year, or $31.9 per hour.

AI Solutions Consultant

Armis Security

North, SC • On-site

Full-time

Medical

Re-posted 3 days ago


Job description

AI Solution Consultant

Armis is seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the SVP of Strategic Initiatives, this team designs and ships AI-native solutions - agents, assistants, and reusable skills - that advance Armis's security mission and multiply the impact of teams across the company.

This is a builder role. 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 expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work.

What you'll do

  • Design, build, and bring to production ready: models,  AI agents, assistants, and reusable skills that solve real problems for Armis and its customers.
  • Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems.
  • Build evaluation into everything you ship - define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought.
  • Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls.
  • Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE.
  • Also be a part of the COE Consult team to help across the organization.
  • Document what you build and how it should be used, operated, and evaluated.

What we're looking for

  • An AI Expert in Multi-agentic solutions. 
  • Demonstrated experience building real AI solutions - agents, assistants, copilots, or skills - that shipped and got used, not just prototyped.
  • Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when.
  • Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment.
  • Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes).
  • Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience.

Preferred 

Experience in security, or building AI for security use cases 

What this role is not

  • A machine learning / model-training role. We are not hiring ML engineers or building training pipelines.

Salary range guidance for this position is:   $300,000 - $340,000

Bonus / RSUs

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.