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Machine Manager Jobs in Georgetown, TX (NOW HIRING)

Socket.dev

Machine Learning Engineer, OIS-Core Engine

Austin, TX · On-site

$143.70 - $194.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers? Join Amazon Infrastructure Engineering's AI/ML team to design and ...

Loram

Machine Operator 1 - Tie Marking

Georgetown, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE: Machine Operator 1 (MO1) is responsible for operating, maintaining, and repairing company railway ...

Loram

Machine Operator 1 - Tie Marking

Georgetown, TX · On-site

$20 - $21/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assistant Manager, Superintendent or Assistant Superintendent GENERAL DESCRIPTION / PURPOSE: Machine Operator 1 (MO1) is responsible for operating, maintaining, and repairing company railway ...

Snelling Austin

2nd Shift Machine Operator

Round Rock, TX

$15.75 - $19.25/hr

Machine Operator Job Summary: The Machine Operator is responsible for operating production ... Report unsafe conditions and hazards to management immediately. Take personal responsibility for ...

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Machine Manager information

What is the difference between Machine Manager vs Equipment Supervisor?

AspectMachine ManagerEquipment Supervisor
CredentialsTypically requires technical certifications or experience in machinery operation and maintenanceOften requires similar technical certifications, with additional supervisory or leadership training
Work EnvironmentWorks directly with machinery, overseeing machine performance and maintenanceSupervises equipment staff, manages maintenance schedules, and ensures operational efficiency
Industry UsageCommon in manufacturing, production, and industrial settingsFound in manufacturing, construction, and industrial sectors

The Machine Manager focuses on overseeing the operation and maintenance of machinery, ensuring optimal performance. The Equipment Supervisor manages staff and schedules related to equipment, emphasizing team coordination and operational efficiency. Both roles require technical knowledge, but their primary responsibilities differ in scope and focus.

What are some common challenges faced by a machine manager and how can they be addressed?

Machine Managers often encounter challenges such as equipment downtime, coordinating maintenance schedules, and ensuring optimal productivity from both machines and operators. To address these, proactive maintenance planning, regular training for team members, and clear communication with other departments are essential. Building a strong rapport with maintenance and engineering teams can help quickly resolve technical issues and keep production running smoothly.

What does a machine manager do?

A Machine Manager oversees the operation, maintenance, and performance of machinery within an industrial or manufacturing setting. They are responsible for ensuring machines run efficiently, scheduling regular maintenance, troubleshooting technical issues, and supervising machine operators. Additionally, Machine Managers often monitor production output, enforce safety standards, and work to optimize processes to reduce downtime and improve productivity. Their role is crucial in maintaining smooth operations and meeting production goals.

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

To thrive as a Machine Manager, you need a solid background in mechanical engineering, production processes, and equipment maintenance, typically supported by relevant technical training or a degree. Familiarity with manufacturing software (such as ERP/MES systems), maintenance management tools, and safety certifications like OSHA are usually required. Strong leadership, problem-solving, and effective communication skills help a Machine Manager lead teams and coordinate with other departments. These competencies ensure optimal machine performance, reduced downtime, and a safe, efficient production environment.

What are the most commonly searched types of Machine jobs in Georgetown, TX?

The most popular types of Machine jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Machine Manager jobs?

Cities near Georgetown, TX with the most Machine Manager job openings:

Machine Manager jobs near you
Infographic showing various Machine Manager job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer - People Analytics

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple's employees are able to do the best work of their lives.
Our team is looking for a Machine Learning Engineer who is passionate about crafting, implementing, and operating analytical and machine learning solutions that have direct and measurable impact to Apple and its employees.
As a Machine Learning Engineer on Apple's People Analytics Team, you will employ predictive modeling, statistical analysis, and advanced analytical techniques to support solutions for talent management, employee surveys, compensation, and recruiting.
Apple's dedication to privacy, the human-centric nature of our work, and the scale of our business present exciting challenges to traditional machine learning and data science methods. On this team, you will push the limits of existing approaches while delivering tangible business value.
Description
As a Machine Learning Engineer on our team will engage with our business partners to understand their problems, design data-driven solutions, and produce proof-of-concept and prototype solutions. They will collaborate with data engineers and system architects to implement these solutions in a production environment, and be responsible for the ongoing analytic operation of these solution.
Minimum Qualifications
MS with 5+ years of professional experience applying data science to real-world business problems
Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
Proficiency in writing SQL queries involving database joins and analytical/window functions
Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R
Prior experience working with employee data or HR systems
Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus.
Ability to translate business processes and data into an analytic solution.
Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams
Ability to extract meaningful business insights from data and identify the stories behind the patterns
Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Preferred Qualifications
Ph.D. in I-O Psychology, Economics, Operations Research, Computer Science, or Statistics with a data science fellowship or prior professional experience as a data scientist
Experience working with employee data or HR systems

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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