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Fall Machine Learning Co Op Jobs in Denison, TX (NOW HIRING)

Altium Packaging LLC

Machine Operator - Days

Sherman, TX · On-site

$23/hr

Being a team player will be essential since all tasks require close collaboration with co-workers ... Learning & Training Opportunities * Bonus Opportunities * Reasonable mandatory overtime may be ...

All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Denison, TX

Fall Machine Learning Co Op information

See Denison, TX salary details

$22.3K

$37.2K

$76.9K

How much do fall machine learning co op jobs pay per year?

As of Aug 27, 2026, the average yearly pay for fall machine learning co op in Denison, TX is $37,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,400.00 and $40,200.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

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

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What cities near Denison, TX are hiring for Fall Machine Learning Co Op jobs?

Cities near Denison, TX with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Denison, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,221 per year, or $17.9 per hour.

Continuous Improvement Engineer

Denison Industries

Denison, TX • On-site

$69K - $92K/yr

Full-time

Posted 5 days ago

Job description

Continuous Improvement Engineer
Department: Operations
Reports To: General Manager
Position Summary
The Continuous Improvement Engineer is responsible for supporting operational excellence initiatives across our aluminum sand casting foundry. This entry-level role will work closely with production, quality, maintenance, and leadership teams to identify opportunities to improve safety, quality, productivity, and cost performance.
This position is ideal for a hands-on, analytical problem solver who is eager to learn manufacturing processes, Lean principles, and continuous improvement methodologies while making a measurable impact on plant performance.
Key Responsibilities
  • Support Lean Manufacturing and continuous improvement initiatives throughout the foundry.
  • Analyze production, quality, and downtime data to identify improvement opportunities.
  • Participate in root cause analysis and problem-solving activities to reduce scrap, rework, and process variation.
  • Assist with Kaizen events, 5S activities, standard work development, and process improvement projects.
  • Track and report key performance indicators including safety, quality, productivity, downtime, and on-time delivery.
  • Collaborate with production, maintenance, quality, and engineering teams to implement sustainable improvements.
  • Develop process documentation, work instructions, and visual management tools.
  • Participate in shop floor observations and process audits to identify waste and inefficiencies.
  • Support employee engagement initiatives that encourage continuous improvement and operational excellence.
  • Maintain compliance with all safety, environmental, and company policies.

Qualifications
Required
  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Engineering Technology, Operations Management, or a related field.
  • 2-5 years of engineering, manufacturing, internship, or co-op experience.
  • Strong analytical and problem-solving abilities.
  • Proficient with Microsoft Office, particularly Excel.
  • Strong communication and teamwork skills.
  • Comfortable working in a manufacturing environment.

Preferred
  • Exposure to Lean Manufacturing concepts such as 5S, Kaizen, Standard Work, or Value Stream Mapping.
  • Experience using Power BI, Minitab, or similar analytical tools.
  • Knowledge of foundry, casting, metal manufacturing, or industrial production processes.

Core Competencies
  • Continuous Improvement Mindset
  • Data-Driven Decision Making
  • Root Cause Problem Solving
  • Initiative and Accountability
  • Collaboration and Relationship Building
  • Organizational Skills
  • Effective Communication
  • Adaptability and Learning Agility

Apply