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Machine Learning Engineer Jobs in Cookeville, TN

Lead the installation of new electrical systems and machinery, adhering to all relevant codes and ... Work closely with engineering and production teams to support manufacturing processes and resolve ...

Lead the installation of new electrical systems and machinery, adhering to all relevant codes and ... Work closely with engineering and production teams to support manufacturing processes and resolve ...

... machinery and ensuring any approved repairs and upgrades are being executed in a thorough and ... in Engineering, Manufacturing, Business Administration, or a related field preferred. • Minimum ...

Showing results 21-29

Machine Learning Engineer information

See Cookeville, TN salary details

$26.9K

$110K

$165.3K

How much do machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning engineer in Cookeville, TN is $110,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $132,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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.

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.

What cities near Cookeville, TN are hiring for Machine Learning Engineer jobs?

Cities near Cookeville, TN with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Cookeville, TN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $110,002 per year, or $52.9 per hour.

Extrusion Engineer & Production Manager

Patrick Industries

Sparta, TN

Full-time

Posted 6 days ago


Patrick Industries rating

6.6

Company rating: 6.6 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

458th of 542 rated manufacturers


Job description

Patrick Industries, a publicly traded company headquartered in Elkhart, Indiana, invites you to join a team of dedicated Team Members who are passionate about delivering high-quality products and exceptional customer service. As a leading solutions provider serving a diverse range of markets across the United States, our commitment to innovation, quality, and sustainability has positioned us as a high growth, diversified and empowered Team of more than 10,000! Your adventure awaits!

TACO Metals, empowered by Patrick Industries, is seeking an Extrusion Engineer & Production Manager. The Extrusion Engineer & Production Manager is responsible for supporting the technical, operational, and leadership functions of TACO Metals' Plastics Manufacturing Department. This role combines hands-on extrusion engineering expertise with manufacturing operations leadership to ensure efficient production, high product quality, continuous improvement, and workforce development. Working closely with department leadership, the position supports extrusion process optimization, new product launches, production management, employee development, capital planning, and operational excellence while preparing for increased leadership responsibilities within the organization.

Responsibilities & Duties:

Extrusion Engineering & Process Optimization

  • Develop, implement, optimize, and troubleshoot plastic extrusion processes to improve efficiency, quality, and throughput
  • Design, evaluate, and improve extrusion tooling, dies, and downstream equipment
  • Establish and maintain process parameters, operational standards, and manufacturing documentation
  • Evaluate raw materials, resins, and additives for performance, compatibility, and manufacturability
  • Support new product development activities, prototype trials, and production launches
  • Lead root cause analysis and corrective action efforts related to quality, process performance, and equipment reliability

Production Management & Manufacturing Operations

  • Support daily manufacturing operations across all shifts to meet customer requirements and production targets
  • Assist with production scheduling and monitor manufacturing performance metrics
  • Identify and implement opportunities to improve uptime, throughput, efficiency, and scrap reduction
  • Maintain manufacturing standards including BOMs, work instructions, operating procedures, and process documentation
  • Coordinate activities between Engineering, Quality, Maintenance, Production, and Supply Chain teams
  • Ensure operational objectives are achieved while maintaining safety and quality expectations

Leadership & Workforce Development

  • Provide technical training, coaching, and mentorship to extrusion operators and production employees
  • Support employee development, succession planning, and knowledge transfer initiatives
  • Assist with workforce management activities and daily production team support
  • Foster a culture of accountability, continuous improvement, and teamwork
  • Develop leadership capabilities to support future departmental management responsibilities
  • Promote employee engagement and effective communication throughout the manufacturing operation

Equipment Reliability & Maintenance Support

  • Partner with Maintenance to support preventive maintenance programs for extrusion equipment and related systems
  • Assist in troubleshooting equipment issues and developing corrective actions
  • Evaluate equipment performance and recommend improvements to increase reliability and productivity
  • Support equipment upgrades, installations, and operational readiness activities
  • Participate in capital planning and equipment replacement initiatives
  • Ensure manufacturing equipment operates safely and efficiently

Continuous Improvement & Operational Excellence

  • Identify and implement opportunities to improve productivity, quality, cost performance, and operational efficiency
  • Lead and participate in Lean Manufacturing and continuous improvement initiatives
  • Evaluate emerging extrusion technologies, materials, and manufacturing methods
  • Support waste reduction, process improvement, and cost-control programs
  • Monitor production metrics and recommend actions to improve business performance
  • Promote best practices throughout manufacturing operations

Safety, Quality & Compliance

  • Ensure compliance with company safety, quality, environmental, and regulatory requirements
  • Support quality management initiatives and corrective action activities
  • Maintain a safe, clean, and organized manufacturing environment
  • Promote safe work practices and employee compliance with established procedures
  • Participate in audits, inspections, and compliance-related activities
  • Support continuous improvement of safety and quality performance metrics

 

Qualifications and Skills

  • Bachelor's degree in Plastics Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field preferred; equivalent hands-on extrusion experience may be considered
  • 3+ years of experience in plastic extrusion, polymer processing, or related manufacturing environments
  • Strong knowledge of extrusion processes, tooling, dies, downstream equipment, line setup, troubleshooting, and process optimization
  • Experience evaluating polymer materials, resins, additives, and manufacturing processes
  • Experience supporting new product development, production launches, and manufacturing improvement initiatives
  • Leadership experience or demonstrated leadership potential preferred
  • Exposure to production scheduling, workforce supervision, and manufacturing operations management preferred
  • Familiarity with ERP systems, manufacturing documentation systems, and production reporting tools preferred
  • Experience with Lean Manufacturing, continuous improvement methodologies, and operational excellence initiatives preferred
  • Proficiency in Microsoft Office applications
  • Strong analytical, organizational, problem-solving, and decision-making skills
  • Excellent verbal and written communication skills
  • Ability to collaborate effectively with Engineering, Quality, Maintenance, Production, and Supply Chain teams
  • Ability to work within a manufacturing environment and support plant-floor operations
  • Ability to travel up to 10% for training, supplier visits, equipment evaluations, and business-related activities
  • Align with Patrick Industries "BETTER Together" mentality by pursuing Balance, Excellence, Trust, Teamwork, Empowerment, and Respect within the organization

At Patrick Industries, BETTER Together is our commitment to being our best while striving to bring out the best in one another as we join forces Individually, as Teams, with our Business Units, with our Customers, our Communities and within our entire Patrick family.

Patrick is an Equal Opportunity Employer.


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