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Machine Assistant Jobs in Leander, TX (NOW HIRING)

Branch 42

CNC Machinist

Austin, TX · On-site

$29/hr

Monitor machine operations and make adjustments to ensure quality and production efficiency ... Follow all company safety procedures and manufacturing standards. * Assist with training or guiding ...

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Machine Assistant information

See Leander, TX salary details

$12

$17

$22

How much do machine assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for machine assistant in Leander, TX is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.37 per hour, depending on experience, location, and employer.

What is a machine assistant?

Machine assistants are workers who help operate, maintain, and monitor machinery in various industries, such as manufacturing, packaging, or construction. They typically assist machine operators by preparing materials, loading and unloading machines, performing routine maintenance, and ensuring equipment runs smoothly. Machine assistants play a key role in supporting efficient production processes and workplace safety. Their responsibilities may vary depending on the industry and the type of machinery they work with.

What is the difference between Machine Assistant vs Machine Operator?

AspectMachine AssistantMachine Operator
Required CertificationsBasic technical training, safety certificationsMore advanced certifications, specialized training
Work EnvironmentAssists in machine setup and maintenance, often in manufacturing or production settingsOperates machinery directly, monitors performance, and adjusts controls
Employer & Industry UsageCommon in manufacturing, assembly lines, and production facilitiesPrimarily in manufacturing, construction, and industrial plants

While both roles support manufacturing processes, a Machine Assistant typically assists with setup, maintenance, and support tasks, whereas a Machine Operator directly controls and manages machinery during operation. The roles differ mainly in responsibility level and required certifications, with Machine Operators generally needing more specialized training.

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

To thrive as a Machine Assistant, you need basic mechanical aptitude, attention to detail, and a high school diploma or equivalent. Familiarity with industrial machinery, safety protocols, and possibly certifications such as OSHA training are commonly required. Reliability, teamwork, and strong communication skills help you efficiently support machine operators and maintain a safe work environment. These skills ensure smooth production processes, reduce downtime, and uphold workplace safety standards.

What are some common challenges faced by machine assistants when supporting production machinery, and how can these be managed?

Machine Assistants often encounter challenges such as troubleshooting minor mechanical issues, maintaining consistent production speed, and ensuring safety protocols are strictly followed. Adapting to rapidly changing production schedules and learning to operate different types of machinery can also be demanding. These challenges can be managed by proactively communicating with supervisors, following maintenance schedules, and seeking training opportunities to become more familiar with various equipment. Team collaboration and attention to detail are key to effectively overcoming daily obstacles in this role.
What cities near Leander, TX are hiring for Machine Assistant jobs? Cities near Leander, TX with the most Machine Assistant job openings:
Machine Assistant jobs near you
Infographic showing various Machine Assistant job openings in Leander, TX as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $35,879 per year, or $17.2 per hour.

Senior Manager, Machine Learning

Realtor.com Careers

Austin, TX

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 hours ago

Job description

At Realtor.com, Machine Learning is part of our DNA. We process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our [http://realtor.com|http://realtor.com|smart-link] website and mobile apps.

The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company's bottom line. As a key member of the team, you will be responsible for the development of a team to execute on innovative concepts, research, predictive modeling, and machine learning algorithms. You will serve as a manager for the machine learning engineers on the team and provide guidance on their individual projects in addition to serving as an expert for any algorithms that you develop or help develop.

A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fairness, inclusion, and making sure we have a world-class customer experience is what this individual is chartered with. You should have extensive experience in modeling and strong statistical acumen. Additionally, prior experience managing a team is highly desirable.

What You'll Do:

  • Understand the business and data models to effectively query data
  • Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
  • Supervise exploratory analysis on Realtor.com's wealth of data.
  • Direct development of predictive, explanatory models and machine learning algorithms.
  • Design and build machine learning solutions to drive revenue growth, customer retention and support strategic decision making.
  • Generate descriptive visualizations and presentations to communicate insights.
  • Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
  • Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
  • Mentor a team of machine learning engineers on data exploration, machine learning and developing data-oriented products.
  • Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
  • Drive a project forward given just a problem and mission statement.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Bring:

  • PhD/MS in computer science, statistics, mathematics, operations research or related fields.
  • 8+ years of relevant experience in data science, machine learning or applied statistics.
  • 2+ years managing a team of machine learning engineers.
  • Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
  • Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
  • Working experience with relational databases (SQL) and large scale distributed systems.
  • Extensive experience with AWS, GCP, Azure, or equivalent
  • Experience with experiment design and A/B and multivariate tests.
  • Excellent communication and presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Strong ability to coach Machine Learning Engineers, helping them improve their skills and grow their careers
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
 
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

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