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Machine Learning Engineer Software Engineer Jobs in South Carolina

Bespoke Labs

Machine Learning Engineer

Conway, SC

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 ...

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 ...

Bespoke Labs

Machine Learning Engineer

Conway, 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 ...

Bespoke Labs

Machine Learning Engineer

Rock Hill, 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 ...

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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All JobsMachine Learning Engineer Software Engineer JobsMachine Learning Engineer Software Engineer Jobs in South Carolina

Machine Learning Engineer Software Engineer information

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.

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 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 Software Engineer jobs near you

Machine Learning Engineer II

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

130th of 487 rated machine equipment manufacturers

Job description

Job Description:
TTI Consumer Power Tools, Inc., has an opening in its Anderson, SC corporate office for a Electrical Machine Learning (ML) Engineer II that will report into the Sr. Director of Engineering. Come join the Engineering team at the most exciting and innovative tool company in the world!
Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY). The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our RYOBI brand is recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.
Your Role On Our Team:
The Electrical ML Engineer II will identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization. This role partners closely with cross-functional teams to translate customer needs into robust, data-driven solutions that can be demonstrated on-tool and matured toward production readiness.
Key responsibilities include framing ML use cases, designing data-collection strategies and ground-truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. The engineer will also help establish and improve team workflows and guidelines covering the end-to-end ML lifecycle-from problem definition through model training, validation, and deployment considerations.
Primary Job Requirements:
  • 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.

We provide these great perks and benefits:
  • We offer competitive wages and a comprehensive benefits package
    • 401(k)
    • Medical/dental/vision coverage
    • Tuition assistance
    • Vacation and holidays.
  • On-site gym with a managing health and wellness professional.
  • In-house training and development staff.
  • Subsidized cafeteria and Starbucks coffee

What Techtronic Industries TTI employees say

Pay

Benefits

Hours and flexibility

Workplace

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