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Machine Language Jobs in Texas (NOW HIRING)

Mannapov, LLC

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Mannapov, LLC

Senior R&D Software Developer

Boerne, TX

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Mannapov, LLC

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Burckhardt Compression

Field Technician I

Pasadena, TX · On-site

$18 - $24.75/hr

Program various CNC machines based on machine language. Maintain safe and clean working environment by complying with procedures, rules, and regulations. Maintains equipment by completing preventive ...

Essel

Solar Field Manager

Austin, TX · On-site

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

Essel

Solar Field Manager

Austin, TX · On-site

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

Essel

Solar Field Manager

Austin, TX · On-site

Prior experience or familiarity with SCADA systems and machine language is a plus * Strong understanding of construction site practices, procedures, and safety protocols * Excellent written and ...

DanHil Containers

Machine Assistant

Dallas, TX · On-site

$15.50 - $18.25/hr

The Machine Assistant will work closely with machine operators to maintain efficiency, inspect ... Language Skills : Good verbal and written communication skills to effectively interact with ...

New

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Develop vision-language models and Mixture of Experts architectures, from experimental design ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

New

DanHil Containers III LLC

Machine Assistant

Dallas, TX

$15.50 - $18.25/hr

The Machine Assistant will work closely with machine operators to maintain efficiency, inspect ... Language Skills : Good verbal and written communication skills to effectively interact with ...

New

Shapco Inc

Machine Operator I

Lubbock, TX · On-site

$14 - $16.75/hr

ROLE AND RESPONSIBILITIES Machine Operators I must have a strong understanding of the machines they ... Bilingual language skills in English and Spanish. • Ability to work well with others, be ...

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All JobsMachine Language JobsMachine Language Jobs in Texas

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 are popular job titles related to Machine Language jobs in Texas? For Machine Language jobs in Texas, the most frequently searched job titles are:
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:
Machine Language jobs near you
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- Senior Consultant Level

Machine Learning Engineer- Senior Consultant Level

Visa

Austin, TX • On-site

$173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

4th of 20 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
As a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and develop integrated software algorithms to structure, analyze, and leverage data in product and systems applications across both structured and unstructured environments. You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy. Rigorous validation and identification of logical flaws via sound machine learning practices are essential to support the post-deployment phase integrity and accuracy of solutions.
You will translate algorithms and technical specifications into code using current programming languages and technologies. The role includes designing and implementing methods for adaptive learning (self-learning models) with controls on effectiveness, methods for explaining model decisions where necessary, model validation, and A/B testing of models.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
  • Develop and program integrated software algorithms for product and systems applications in both structured and unstructured environments.
  • Apply machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy.
  • Conduct rigorous validation and identify logical flaws using sound machine learning practices.
  • Translate algorithms and technical specifications into code using current programming languages and technologies.
  • Design and implement methods for adaptive learning, model validation, A/B testing, and explainability of model decisions.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD.
  • Experience in developing and programming integrated software algorithms for structured and unstructured data environments.
  • Ability to program in one or more scripting languages such as Rust or Python and one or more programming languages such as Java, C++ or C#.
  • Advanced Generative AI Experience/Usage

Preferred Qualifications:
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • Bachelor's Degree in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
  • Experience in applying statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others.
  • Experience in rigorous validation and identification of logical flaws in machine learning solutions.
  • Experience in translating algorithms and technical specifications into code using current programming languages and technologies.
  • Experience in designing and implementing adaptive learning methods, model validation, and A/B testing.
  • Experience in explaining model decisions and ensuring post-deployment integrity and accuracy.
  • Experience in working with large datasets and modern big data and ML/AI technologies.
  • Experience in relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
  • Experience with one or more common statistical tools such as SAS, R, KNIME, Matlab.
  • Deep learning experience with TensorFlow is a plus.

U.S. Applicants Only
The estimated salary range for this position is $173,000.00 to $ 276,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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