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Senior Machine Learning Engineer Jobs in Mount Pleasant, MI

... machine parameters, and ensuring molds and auxiliary equipment are operating efficiently. The ... Development & Continual Learning * Ethics & Integrity * Mathematical Reasoning * Planning ...

Manufacturing Engineer

Evart, MI

$64K - $83K/yr

Development and Continual Learning * Problem Solving * Troubleshooting * Accountability and ... Machine Safety * Robot Safety Guidelines & Procedures * Root Cause Analysis * TS - Control of ...

Manufacturing Engineer

Evart, MI

$64K - $83K/yr

Development and Continual Learning * Problem Solving * Troubleshooting * Accountability and ... Machine Safety * Robot Safety Guidelines & Procedures * Root Cause Analysis * TS - Control of ...

Manufacturing Engineer

Evart, MI

$64K - $83K/yr

Development and Continual Learning * Problem Solving * Troubleshooting * Accountability and ... Machine Safety * Robot Safety Guidelines & Procedures * Root Cause Analysis * TS - Control of ...

Mission-Critical Machine Learning (ML) Solutions * Real-Time and Streaming Data Consumption ... engineering peers and senior stakeholders, and influencing strategic technology choices.

... Engineering or Construction Management or the equivalent required; • Requires ten (10) or more ... production machinery with extreme noise levels • Must be able to wear safety equipment as ...

Development and Continual Learning * GDT/Blueprint Reading skills * Engineering specification ... Machines and tools, including their designs, uses, repair, and maintenance. * Arithmetic, algebra ...

Showing results 21-40

Senior Machine Learning Engineer information

See Mount Pleasant, MI salary details

$54.9K

$116.8K

$169.3K

How much do senior machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior machine learning engineer in Mount Pleasant, MI is $116,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $132,400.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Mount Pleasant, MI? The most popular types of Machine Learning Engineer jobs in Mount Pleasant, MI are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Mount Pleasant, MI? For Senior Machine Learning Engineer jobs in Mount Pleasant, MI, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Mount Pleasant, MI look for? The top searched job categories for Senior Machine Learning Engineer jobs in Mount Pleasant, MI are:
What cities near Mount Pleasant, MI are hiring for Senior Machine Learning Engineer jobs? Cities near Mount Pleasant, MI with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Mount Pleasant, MI 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 $116,774 per year, or $56.1 per hour.

Manufacturing Plastics Process Engineer

fng

Evart, MI

Full-time

Posted 27 days ago


Job description

The Plastics Process Engineer is responsible for setting up, adjusting, and maintaining plastic injection molding processes to ensure the consistent production of high-quality automotive components. This role supports daily manufacturing operations by troubleshooting process issues, optimizing machine parameters, and ensuring molds and auxiliary equipment are operating efficiently. The technician ensures process consistency, helps with root cause analysis, and contributes to continuous improvement activities in alignment with safety, quality, and environmental standards.

Core Competencies

  • Accountability & Dependability
  • Analytical
  • Collaborative
  • Communication
  • Creative & Innovating Thinking
  • Detail Oriented
  • Development & Continual Learning
  • Ethics & Integrity
  • Mathematical Reasoning
  • Planning & Organizing
  • Problem Solving   
  • Research & Analysis
  • Results Driven
  • Teamwork
  • Time Management

Job Duties

  • Set up and start up plastic molding/extrusion machines and auxiliary equipment according to specifications.
  • Optimize process parameters to maintain consistent part quality and minimize cycle time and scrap.
  • Monitor machine performance and identify opportunities for process improvements.
  • Perform root cause analysis of molding defects such as flash, short shots, sink marks, warping, etc.
  • Perform in-process inspections using gauges, calipers, and other measurement tools.
  • Maintain accurate records of machine settings and process parameters for each job.
  • Assist engineers with process trials, tool qualifications, and sample runs.
  • Support preventive maintenance activities and minor mechanical repairs.
  • Create and update documentation such as setup sheets, process logs, and troubleshooting guides.
  • Collaborate with Quality and Engineering teams to address non-conformances and implement corrective actions.
  • Train and support machine operators on process best practices and standard work.
  • Contribute to safety and environmental initiatives by following procedures and recommending improvements.
  • Participate in continuous improvement projects to improve efficiency, part quality, and machine uptime.
  • Ensure compliance with company Quality Management System and Environmental Management System policies.

Requirements

  • Certificate or associate degree in Plastics Engineering, Manufacturing Technology, or a related technical field (or equivalent experience).
  • Minimum 3–5 years of hands-on experience with injection molding, extrusion, or blow molding processes.
  • Strong understanding of plastic materials, tooling, and processing principles.
  • Familiar with reading blueprints, part drawings, and technical documentation.
  • Experience using measurement devices (e.g., calipers, micrometers, gauges).
  • Working knowledge of Process Flow and Control Plans preferred.
  • Mechanical aptitude with ability to use hand tools and perform minor machine maintenance.
  • Strong communication skills and ability to work collaboratively with cross-functional teams.
  • Computer proficiency in basic data entry, spreadsheets, and documentation software.
  • Self-starter with strong problem-solving skills and attention to detail.