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Machine Language Jobs in Texas (NOW HIRING)

Machine Operator

Dallas, TX

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... LANGUAGE SKILLS Able to read and follow instructions; quality, safety, job packets MATHEMATICAL ...

The role involves developing and optimizing machine learning models, managing large-scale datasets ... large language models, or generative AI. • At least three years of experience developing neural ...

Machine Operator

Dallas, TX · On-site

$15.25 - $18/hr

Machine Operator SUMMARY Responsible for all activities associated with safely operating production ... LANGUAGE SKILLS Able to read and follow instructions; quality, safety, job packets MATHEMATICAL ...

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Machine Operator

Ennis, TX · On-site

$15.75 - $18.75/hr

Sheet Metal Machine Operator Department: Manufacturing/Production - Ennis FLSA Status: Non - Exempt ... Able to speak read, count, and interpret written information in the English language. * Honesty ...

English language preferred. * High school diploma or equivalent. * Previous experience as a machine operator in a food manufacturing or packaging environment is a plus. Physical Requirements: While ...

Heavy Machine Operator (A)

Humble, TX

$14.25 - $17/hr

Also operates machines under HMO B and C classification. The HMO-A utilizes a high degree of ... Language Skills: Ability to read and interpret documents such as safety rules, operating and ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

Sewing Machine Operator

Pasadena, TX

$13.75 - $16.50/hr

Good command of the English language, both verbal and written * Able to repeat same tasks * Able to ... Previous sewing machine operation experience Reporting to this position: None Physical demands and ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

Heavy Machine Operator (A)

Humble, TX · On-site

$14.25 - $17/hr

Also operates machines under HMO B and C classification. The HMO-A utilizes a high degree of ... Language Skills: Ability to read and interpret documents such as safety rules, operating and ...

Heavy Machine Operator (A)

Humble, TX

$14.25 - $17/hr

Also operates machines under HMO B and C classification. The HMO-A utilizes a high degree of ... Language Skills: Ability to read and interpret documents such as safety rules, operating and ...

Sewing Machine Operator

Pasadena, TX · On-site

$13.75 - $16.50/hr

Good command of the English language, both verbal and written * Able to repeat same tasks * Able to ... Previous sewing machine operation experience Reporting to this position: None Physical demands and ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Language Processing including RAG based Generative AI and transformer architecture. Skilled in ...

English language preferred. * High school diploma or equivalent. * Previous experience as a machine operator in a food manufacturing or packaging environment is a plus. Physical Requirements: While ...

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Machine Language information

See Texas salary details

$8

$36

$69

How much do machine language jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for machine language in Texas is $36.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.85 and $51.37 per hour, depending on experience, location, and employer.

What is the difference between Machine Language vs Data Scientist?

AspectMachine LanguageData Scientist
Required CredentialsNone specific; basic programming knowledgeBachelor's or higher in CS, statistics, or related fields
Work EnvironmentLow-level programming, embedded systems, hardware interactionData analysis, modeling, visualization in offices or labs
Industry UsageSoftware development, embedded systems, hardware programmingTech, finance, healthcare, marketing

Machine Language involves low-level programming directly with binary instructions, primarily used for hardware interaction. Data Scientists analyze data to extract insights, often using high-level languages like Python or R. While both roles require programming skills, Machine Language focuses on hardware-level coding, whereas Data Scientists work with data analysis and modeling.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize machine learning models, and their role involves understanding algorithms, data preprocessing, and model deployment. While AI advancements automate some tasks, MLEs are essential for creating and maintaining complex AI systems, and their expertise remains in demand for developing innovative solutions and managing AI infrastructure.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong programming backgrounds can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and leadership roles within organizations.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools, as well as certifications in data science or machine learning, are highly valuable. Problem-solving skills, curiosity, and effective collaboration are crucial soft skills for innovating and working in multidisciplinary teams. These abilities are essential to design, implement, and optimize models that drive data-driven decision-making and business success.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, extensive experience, and may require expertise in tools like Python, TensorFlow, or PyTorch, along with relevant certifications. Compensation at this level reflects the complexity and impact of the work in developing cutting-edge AI solutions.

What are some common challenges faced by professionals working with machine learning models, and how can they be addressed?

Professionals in machine learning often encounter challenges such as managing large and complex datasets, addressing data quality issues, and preventing model overfitting. Collaborating effectively with data engineers and domain experts can help ensure data relevance and accuracy. Additionally, staying updated with the latest research and best practices is important for optimizing model performance and adapting to evolving business needs. Regular code reviews and model validation are key practices that help maintain high-quality, reliable machine learning solutions.

What is machine language and what does a machine language programmer do?

Machine language is the lowest-level programming language, consisting of binary code that computers can directly execute. A machine language programmer writes instructions in this binary code to control computer hardware at the most fundamental level. This job often involves optimizing code for performance and working closely with computer architecture. Machine language programming is rare today, as higher-level languages are more commonly used, but it remains crucial for certain applications like embedded systems and hardware drivers.

Is ML a high paying job?

Machine learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and education, but many ML positions offer competitive compensation compared to other tech roles.
What job categories do people searching Machine Language jobs in Texas look for? The top searched job categories for Machine Language jobs in Texas are:
Infographic showing various Machine Language job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $76,337 per year, or $36.7 per hour.
Machine Learning Engineer - People Analytics

Machine Learning Engineer - People Analytics

Apple

Austin, TX • On-site

Full-time

Re-posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th 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


Apple logo

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