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Machine Learning Engineer Jobs in Clemson, SC (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Greenville, 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 ...

ASC Engineered Solutions

MES Manager

Liberty, SC · On-site

$99K - $101K/yr

Programming experience (e.g., JavaScript, C++, or similar) * Exposure to machine learning, AI, or predictive maintenance applications * Experience in highly automated manufacturing environments

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

TRULEO

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

Vertiv

Electrical Engineer

Pelzer, SC · On-site

... AI, machine learning, and advanced data analytics to support next-level solutions. You'll ... Bachelor's or equivalent degree in Electrical Engineering * Proficient in Electrical power system ...

Varsity Tutors

Data Science Tutor

Greenville, 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 ...

Vertiv Co

Presales Structural Engineer

Pelzer, SC · On-site

At Vertiv, you'll work alongside a multidisciplinary team of engineering experts, leveraging and supporting emerging technologies such as AI, machine learning, and advanced data analytics to support ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Clemson, SC

Machine Learning Engineer information

See Clemson, SC salary details

$26.7K

$109.1K

$164K

How much do machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning engineer in Clemson, SC is $109,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $131,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Clemson, SC? The most popular types of Machine Learning Engineer jobs in Clemson, SC are:
What are popular job titles related to Machine Learning Engineer jobs in Clemson, SC? For Machine Learning Engineer jobs in Clemson, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Clemson, SC look for? The top searched job categories for Machine Learning Engineer jobs in Clemson, SC are:
What cities near Clemson, SC are hiring for Machine Learning Engineer jobs? Cities near Clemson, SC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Clemson, SC as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,105 per year, or $52.5 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

Techtronic Industries - TTI

Anderson, SC • On-site

Full-time

Re-posted 8 days ago

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

104th of 427 rated machine equipment manufacturers

Job description

Job Summary:
Techtronic Industries is a fast-growing world leader in Power Tools and Accessories, seeking an Electrical Machine Learning Engineer II to join their team. The role involves identifying and developing ML-enabled features for outdoor power tools, collaborating with cross-functional teams to create data-driven solutions.
Responsibilities:
• Identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization.
• Frame ML use cases, design data-collection strategies and ground-truth methods.
• Perform data engineering and feature development, train and tune models in Python, and execute validation to characterize accuracy, robustness, and corner cases.
• Establish and improve team workflows and guidelines covering the end-to-end ML lifecycle—from problem definition through model training, validation, and deployment considerations.
Qualifications:
Required:
• Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
• Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
• Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
• Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
• Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
• Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
• Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
• Strong technical communication skills and the ability to plan/execute work to meet project schedules.
• Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.
Company:
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology. Founded in 1985, the company is headquartered in Kwai Tsing, HKG, with a team of 10001+ employees. The company is currently Late Stage.

What Techtronic Industries TTI employees say

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Hours and flexibility

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