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Machine Helper Jobs in Austin, TX (NOW HIRING)

Curbell, Inc.

Machine Operator

Austin, TX · On-site

$16.75 - $20/hr

The Machine Operator produces quality product according to precise specifications within time ... to help drive improvement. Ensures the workplace and environment are clean and safe. Follows ...

ROKA

Machine Operator

Austin, TX · On-site

$16.75 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll help ensure our customers receive high-quality, accurately crafted eyewear by maintaining ... Load lenses into machines and input proper measurements or cutting instructions * Inspect lenses ...

ROKA

Machine Operator

Austin, TX · On-site

$16.75 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll help ensure our customers receive high-quality, accurately crafted eyewear by maintaining ... Load lenses into machines and input proper measurements or cutting instructions * Inspect lenses ...

Curbell, Inc.

Machine Operator

Austin, TX · On-site

$18.32 - $27.48/hr

The Machine Operator produces quality product according to precise specifications within time ... to help drive improvement. Ensures the workplace and environment are clean and safe. Follows ...

Aerotek

Machine Operator

Austin, TX

$17.50 - $23.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Operator | Semiconductor Manufacturing -$23Join a Growing Semiconductor Company! We're ... year, helping our workers navigate an evolving labor market and find jobs that meet their goals ...

Aerotek

Machine Operator

Austin, TX

$17.50 - $23.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Operator | Semiconductor Manufacturing -$23Join a Growing Semiconductor Company! We're ... year, helping our workers navigate an evolving labor market and find jobs that meet their goals ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

  • Medical

... to help create success for our customers. What Makes Q2 Special? Being as passionate about our ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... help create success for our customers.Being as passionate about our people as we are about our ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

  • Medical

... to help create success for our customers. What Makes Q2 Special? Being as passionate about our ... SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ...

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Showing results 21-40

All JobsMachine Helper JobsMachine Helper Jobs in Austin, TX

Machine Helper information

See Austin, TX salary details

$10

$17

$22

How much do machine helper jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine helper in Austin, TX is $17.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.04 per hour, depending on experience, location, and employer.

What is a machine helper?

Machine Helpers are workers who assist machine operators in manufacturing or production settings. They are responsible for supporting the setup, operation, and maintenance of machinery, as well as ensuring materials are loaded correctly and finished products are removed efficiently. Their duties often include cleaning equipment, monitoring machine performance, and helping with minor repairs or adjustments. Machine Helpers play a vital role in keeping production lines running smoothly and safely.

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

To excel as a Machine Helper, you need basic mechanical aptitude, physical stamina, and a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and possibly forklift or OSHA certifications is typically required. Attention to detail, teamwork, and reliability are important soft skills for this role. These skills and qualifications ensure safe and efficient machine operation, minimize downtime, and contribute to a productive work environment.

What are some common challenges faced by machine helpers in a manufacturing environment and how can they be addressed?

Machine Helpers often encounter challenges such as keeping up with fast-paced production lines, handling repetitive tasks, and ensuring safety around heavy machinery. To address these, it's important to stay attentive, follow safety protocols, and communicate effectively with machine operators and supervisors. Developing good organizational habits and being proactive about machine maintenance can also help prevent breakdowns and maintain efficiency. Training and teamwork are key for overcoming these challenges and ensuring a smooth workflow.

What is the difference between Machine Helper vs Machine Operator?

AspectMachine HelperMachine Operator
Required CredentialsHigh school diploma or equivalent; on-the-job trainingHigh school diploma; often additional certifications or training
Work EnvironmentFactories, manufacturing plants, construction sitesFactories, manufacturing plants, industrial settings
Employer & Industry UsageCommonly employed in manufacturing and constructionPrimarily in manufacturing, production, and industrial sectors
Job ResponsibilitiesAssist machine operators, prepare materials, perform basic maintenanceOperate machinery, monitor production, ensure safety and quality

In summary, a Machine Helper assists Machine Operators by preparing materials and performing basic tasks, while Machine Operators are responsible for running and managing machinery. Both roles are essential in manufacturing environments but differ in responsibilities and required skills.

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

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

What cities near Austin, TX are hiring for Machine Helper jobs?

Cities near Austin, TX with the most Machine Helper job openings:

Machine Helper jobs near you
Infographic showing various Machine Helper job openings in Austin, TX as of August 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $35,966 per year, or $17.3 per hour.

Machine Learning Engineer, Wallet Intelligence and Machine Learning

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 16 hours 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

Are you motivated to protect users and their accounts while delivering the best possible customer experience? Come join the Wallet Intelligence and Machine Learning team, where we help secure users' digital lives across Apple's devices without sacrificing privacy. Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use.
The On Device Insights team at Apple develops machine learning models that run directly on users' devices to protect them from fraud, holding themselves to an exceptionally high bar for privacy. As part of the Wallet Intelligence and Machine Learning team, you will help secure users' digital lives across Apple's devices - including Apple Pay and Apple Wallet - without sacrificing privacy. This is a mission-driven team that thrives on hard problems, healthy skepticism, and open collaboration.
Description
We are looking for a Machine Learning Engineer to help develop and launch on-device technologies that keep our users safe, working closely with engineering, security, program management, and business partners.
Our work is applied and pragmatic by necessity. Models must run in real time and in the background on the device without slowing down something as simple as an in-app purchase, which means designing within real constraints like model size, inference budgets, and memory. Because we often need to anticipate fraud rather than react to each new pattern as it appears, we have to be proactive and think ahead. This role is a chance to take ownership of a problem area, build a system-wide understanding of where our models fit, and apply your expertise in machine learning in an innovative and fast-moving environment.
If you're energized by ambiguity, motivated by a meaningful mission, and the kind of person who digs beneath the surface and questions your own assumptions before forming a recommendation, we'd love to hear from you.
Minimum Qualifications
Experience with machine learning methods such as classification, clustering, and anomaly detection.
Strong programming skills in one or more languages such as Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data or compute frameworks.
Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
Experience delivering results on ambiguous, loosely defined problems, working with others.
Rigorous analytical thinking, including the ability to question assumptions, reason through a problem, and justify a recommendation with sound evidence.
Preferred Qualifications
Experience deploying machine learning in resource-constrained or real-time environments, such as on-device deployment, model compression, or optimizing for inference budgets.
Experience with distributed data and compute frameworks such as Spark, Ray, or Daft.
Familiarity with privacy-preserving machine learning techniques.
Background in fraud detection, risk modeling, or security-focused machine learning.
Familiarity with iOS development.
We're open to a range of specializations and are excited by candidates who bring a differentiating strength to the team, whether that's a research background, deep systems thinking, or expertise we don't yet have. Tell us what you'd add.

What Apple employees say

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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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