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Executive Full Stack Machine Learning Engineer Jobs in Aiken, SC

Varsity Tutors

Machine Learning Tutor

Augusta, GA · 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

Web Development Tutor

Augusta, GA · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Wow

Software Engineer III

Augusta, GA · Hybrid

$125K - $145K/yr

This position sits at the intersection of full-stack engineering, cloud technologies, user experience, and AI-powered software development. If you enjoy solving complex technical challenges, building ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Aiken, SC

Executive Full Stack Machine Learning Engineer information

See Aiken, SC salary details

$37.9K

$114.7K

$162.2K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for executive full stack machine learning engineer in Aiken, SC is $114,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $134,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Aiken, SC? The most popular types of Full Stack Machine Learning Engineer jobs in Aiken, SC are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Aiken, SC look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Aiken, SC are:
Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Aiken, SC as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $114,725 per year, or $55.2 per hour.

Full-Stack Engineer at early-stage consumer social app

Cheez

Augusta, GA • On-site

Full-time

Re-posted 15 days ago

Job description

Cheez (https://cheez.cc/wayupeng) is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

Responsibilities:

  • Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and launch new features and improvements for our consumer social app.

  • Write clean, maintainable, and scalable code using modern web development technologies and best practices.

  • Develop and maintain both front-end and back-end components, ensuring seamless integration and optimal performance.

  • Troubleshoot and debug issues, implement fixes, and optimize application performance.

  • Participate in code reviews, provide constructive feedback, and contribute to a positive team culture.

  • Stay up-to-date with emerging technologies, industry trends, and best practices to continuously improve our product and development processes.

  • Contribute to our agile development methodology, attending daily stand-ups, sprint planning, and retrospective meetings.

  • Minimum 2-3 years of software engineering experience

  • Have built mobile apps (and/or web apps) full-stack before

  • Enthusiastic about photo sharing and/or AI and/or social media

Apply