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

Etnyre International

Manufacturing Engineer

Anderson, SC · On-site

$64K - $83K/yr

Create and maintain CNC programs for a variety of machines using both manual programming techniques ... Commitment to continuous learning; additional certifications or continuing education are a plus ...

Etnyre International

Manufacturing Engineer

Anderson, SC · On-site

$64K - $83K/yr

Create and maintain CNC programs for a variety of machines using both manual programming techniques ... Commitment to continuous learning; additional certifications or continuing education are a plus ...

Etnyre International

Manufacturing Engineer

Anderson, SC · On-site

$65K - $83K/yr

Create and maintain CNC programs for a variety of machines using both manual programming techniques ... Commitment to continuous learning; additional certifications or continuing education are a plus ...

SMF

Manufacturing Engineer

Anderson, SC

$64K - $83K/yr

Create and maintain CNC programs for a variety of machines using both manual programming techniques ... Commitment to continuous learning; additional certifications or continuing education are a plus ...

First Quality Enterprises, Inc.

CI Engineer

Anderson, SC · On-site

$72K - $96K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... machines to improve efficiencies of all equipment in the paper making process. • Organize ...

First Quality Retail Services

CI Engineer

Anderson, SC · On-site

$72K - $96K/yr

At First Quality, you'll find a collaborative environment focused on continuous learning ... Responsible for providing technical support for converting machines to improve efficiencies of all ...

SNAP Diagnostics

Sr. Motor Development Engineer

Anderson, SC

$95K - $131K/yr

Sr. Motor Development Engineer The Sr. Motor Development Engineer for RYOBI Outdoor Power Equipment ... machining - to optimize cost, quality, and performance. * Maintain a strong working knowledge of ...

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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.

Mission Operator - Greenville, SC (Contractor)

Latitude AI

Greenville, SC

$16.50 - $21.75/hr

Other

Re-posted 28 days ago

Job description

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

Fleet Operations is where cutting-edge technology meets real-world application. As a Test Driver, you'll play a vital role in the development testing that drives software and performance improvements. Our dedication to precision shapes the future of driving.

What you'll do: 

  • Drive test vehicles for long-distance local missions (up to 300-400 miles) and on extensive travel missions (up to 50% travel), including multi-day trips across the U.S.
  • Operate on rotating schedules.
  • Perform daily start-up, system engagement/disengagement, and shutdown procedures for development vehicles.
  • Actively monitor and troubleshoot both software and hardware systems while on the road.
  • Execute testing in accordance with strict safety and compliance protocols.
  • Maintain accurate and detailed reports on vehicle performance.
  • Collaborate closely with engineers to provide feedback and insight on system performance.
  • Represent the organization professionally and responsibly while driving in public environments, prioritizing the safety of all road users.
  • Requires the ability to travel (including air).

What you'll need to succeed:

  • High School Diploma or GED equivalent with two years of employment experience required. Associate or Bachelor's Degree preferred.
  • Must have a valid driver's license in the state of residence and ability to meet Latitude AI's minimum driving record requirements, as verified by Motor Vehicle Record background checks prior to hire and periodically thereafter.
  • Ability to pass ten-panel drug screening and criminal background checks conducted prior to employment and periodically thereafter.
  • Comfortable spending long hours driving and working in close quarters with others, maintaining professionalism and focus.
  • Strong interest in technology, adapting quickly to challenges and embracing changes.
  • Technical proficiency with computers; for example typing, checking network connections, navigating web-based applications.
  • Basic troubleshooting skills with an ability to identify issues with both software and hardware.
  • Contributes to a positive and professional work environment while working with people from diverse backgrounds.
  • Capability to thrive autonomously or with limited oversight.
  • A strong sense of responsibility and reliability-show up on time, ready to work every day.
  • Curiosity and excitement about learning new technologies.

Nice to have:

  • Prior experience in technical driving, fleet operations, or vehicle testing environments where compliance and adherence to procedures were crucial.
  • Familiarity with vehicle diagnostics and data logging tools.
  • Familiarity with work management tools like Jira, Slack, Driver Schedule, etc.

Learn more about Latitude's team, mission and career opportunities at lat.ai!

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

 #LI-NC1

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