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Machine Learning Engineer Software Engineer Jobs in South Carolina

Senior Software Engineer

Hanahan, SC · On-site

$53.35 - $88.03/hr

... machine learning, or enterprise application support. About PEMCCO PEMCCO supports complex technical ... Job Overview As a Senior Software Engineer, you will serve as a senior software engineering ...

Senior Software Engineer

Hanahan, SC · On-site

$73.49 - $121.27/hr

... machine learning, or enterprise application support. About PEMCCO PEMCCO supports complex technical ... Job Overview As a Senior Software Engineer, you will serve as a senior software engineering ...

Senior Software Engineer

Hanahan, SC · On-site

$53.35 - $88.03/hr

... machine learning, or enterprise application support. About PEMCCO PEMCCO supports complex technical ... Job Overview As a Senior Software Engineer, you will serve as a senior software engineering ...

Senior Software Engineer

Hanahan, SC · On-site

$53.35 - $88.03/hr

... machine learning, or enterprise application support. About PEMCCO PEMCCO supports complex technical ... Job Overview As a Senior Software Engineer, you will serve as a senior software engineering ...

Software Engineer II

Clinton, SC

$92K - $126K/yr

The Software Engineer II designs, develops, tests, and documents software for embedded systems and ... Experience with machine learning, data analytics, or artificial intelligence applications.

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Showing results 1-20

Machine Learning Engineer Software Engineer information

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in South Carolina?

For Machine Learning Engineer Software Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Software Engineer jobs in South Carolina look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Machine Learning Engineer Software Engineer jobs?

Cities in South Carolina with the most Machine Learning Engineer Software Engineer job openings:

Machine Learning Engineer - Special Projects

Fort Mill, SC • On-site


Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 21 days ago


Job description

We're seeking research engineers to build infrastructure for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality data pipelines, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
Description
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:
Minimum Qualifications
5+ years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines, training infrastructure, model serving, or evaluation frameworks.
Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code.
Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines.
Strong quantitative and data skills - comfortable with SQL, statistical reasoning, and translating ambiguous signals into clear, actionable findings.
Proven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production.
Preferred Qualifications
Bachelors or Masters Degree in Computer Science, Engineering, Math, or Physics from a strong program.
2+ years at a company building AI products or agent systems.
Experience with job orchestration frameworks (Airflow, Prefect, Ray, etc.).
Familiarity with macOS/iOS development ecosystems.
Active personal interest in AI agents-you're already experimenting on your own time.

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976


What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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