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Machine Learning Jobs in Clemson, SC (NOW HIRING)

Autokiniton

Press Operator - 1st Shift

Greenville, SC · On-site

$15.50 - $20.25/hr

Operate, monitor, and help maintain machines and equipment (presses, welders, cranes, forklifts ... Learning & Development: We invest in your future, from entry-level to senior-level roles, equipping ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

Global Lending Services

Data Scientist

Greenville, SC · On-site

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

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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All JobsMachine Learning JobsMachine Learning Jobs in Clemson, SC

Machine Learning information

See Clemson, SC salary details

$21.6K

$36.1K

$74.6K

How much do machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning in Clemson, SC is $36,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,500.00 and $39,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Clemson, SC? The most popular types of Machine Learning jobs in Clemson, SC are:
What are popular job titles related to Machine Learning jobs in Clemson, SC? For Machine Learning jobs in Clemson, SC, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Clemson, SC look for? The top searched job categories for Machine Learning jobs in Clemson, SC are:
What cities near Clemson, SC are hiring for Machine Learning jobs? Cities near Clemson, SC with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Clemson, SC as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $36,081 per year, or $17.3 per hour.

Sr. Manager of Advanced Development

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

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

Techtronic Industries TTI rating

8.1

Company rating: 8.1 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

120th of 417 rated machine equipment manufacturers

Job description

Job Description:
Sr. Manager of Advanced Development (ANDERSON,SC)
Team Overview
Floorcare's US Advanced Development is responsible for shaping the future of the wet floorcare product technology portfolio by working from identified market opportunities and user needs to define new product concepts, technologies, and system architectures. The team operates upstream of New Product Development, focusing on first principles thinking, rapid learning and early de-risking of innovations.
The Advanced Development team works in close partnership with Product Management and Consumer Insights to ensure development activity is market led and strategically aligned. The team also collaborates at a global level across the wider TTI group. This includes peer teams in the UK, maximizing platform leverage, sharing technologies, and creating architectural coherence in the floorcare range.
The Sr. Manager of Advanced Development will lead the US function day to day. The role is accountable for the delivery and execution of the Advanced Development Roadmap, translating direction set by the Director of Global Advanced Development into action. Owning prioritization, pace, and quality of output, ensuring advanced concepts progress efficiently towards decision-ready outcomes.
Primary Responsibilities:
  • Own the day to day execution of Advanced Development activity across the wet floorcare portfolio.
  • Translate strategic direction into clear plans, priorities, and action for the Advanced Development team.
  • Lead and Manage the Advanced Development team on a day to day basis, setting priorities, allocating work and maintaining pace.
  • Deliver the advanced development roadmap in collaboration with Product Management and Consumer Insights.
  • Translate market opportunities into clear development briefs, hypotheses, and learning objectives.
  • Identify, generate, and evaluate technology options to address defined market needs.
  • Drive collaboration between Advanced Development, Industrial Design and Electrical Engineering to synthesize concepts which create compelling product experiences.
  • Provide strong system level and architectural direction without owning the detailed execution.
  • Lead a multi-disciplinary team spanning mechanical, design engineering, analytical and subject matter experts (CFD & NVH).
  • Ensure appropriate use of analysis and simulations (CFD, NVH, FEA, Data led methodology) to generate rapid insights and enhance delivery speed.
  • Proactively manage and communicate tradeoffs across performance, cost, timing, quality and regulatory considerations.
  • Maintain awareness of global regulations and emerging standards, providing recommendations on potential impact to future projects and technologies.
  • Communicate progress, risks, and decisions clearly through concise, executive ready updates.
  • Create compelling narratives and visualizations that support stakeholder alignment and decision making.
  • Mentor and develop engineers to operate with greater ownership, pace and entrepreneurial mindsets.
  • Collaborate globally across dry and wet floorcare teams and the broader group to maximize platform and technology leverage.
  • Support the structured transition of mature concepts into New Product Development.

Requirements:
  • Bachelor's degree in engineering (Mechanical or Aerospace) or a related engineering field, Product design etc.
  • 7+ Years experience in product development within consumer products, including significant time in advanced or early-stage development (innovation).
  • 3+ Years experience leading multi-disciplinary engineering teams, including design, mechanical and analytical engineering disciplines.
  • Strong system level engineering background with exposure across multiple product development cycles.
  • Experience working with or leading teams applying advanced analytical approaches such as CFD, NVH, FEA and data driven or machine learning based approaches.
  • Experience owning or shaping development roadmaps in partnership with Product Management and Insights teams.
  • Strong track record of translating ambiguity into structured recommendations and decision ready proposals.
  • Experience managing tradeoffs across time, cost, spec, quality and regulatory requirements.
  • Working knowledge of global regulations and standards relevant to consumer products, with experience considering impact in early technology development.
  • Proven ability to influence senior and executive level stakeholders through clear, concise and compelling communication.
  • Strong storytelling capability, able to bring concepts and strategies to life while distilling complexity into exec friendly updates.
  • Clear bias toward action, learning and momentum, balanced with sound engineering judgement.
  • Confident decision maker in ambiguous environments, able to progress work with incomplete information.
  • Natural conceptual thinker who connects the dots between market opportunities, technology possibility and product experience.
  • Strong instinct for design quality alongside engineering rigor.
  • Collaborative leader with strong sense of ownership, accountability and platform level thinking.
  • Experience working across global, multi-site organizations.
  • Background in floorcare, consumer electronics, or similarly complex product categories is desirable.

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