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Internship Junior Machine Learning Engineer Jobs in Charleston, SC

Bespoke Labs

Machine Learning Engineer

Charleston, SC · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Varsity Tutors

Machine Learning Tutor

Charleston, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Mount Pleasant, SC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Mercedes-Benz Cars UK Limited

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Designs and implements AI and machine learning solutions to improve manufacturing and business ... Collaborate with engineering and operations teams to integrate AI solutions into existing systems ...

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

Internship Junior Machine Learning Engineer information

See Charleston, SC salary details

$31.4K

$67.2K

$102.5K

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

As of Aug 9, 2026, the average yearly pay for internship junior machine learning engineer in Charleston, SC is $67,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $74,900.00 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 Charleston, SC? For Internship Junior Machine Learning Engineer jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Internship Junior Machine Learning Engineer jobs in Charleston, SC look for? The top searched job categories for Internship Junior Machine Learning Engineer jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Internship Junior Machine Learning Engineer jobs? Cities near Charleston, SC with the most Internship Junior Machine Learning Engineer job openings:
Internship Junior Machine Learning Engineer jobs near you
Infographic showing various Internship Junior Machine Learning Engineer job openings in Charleston, SC as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $67,191 per year, or $32.3 per hour.

Machine Learning Engineer

Bespoke Labs

Mount Pleasant, SC • On-site

Full-time

Re-posted 22 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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