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Machine Learning Engineer Jobs in College Station, TX

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

College Station, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Bryan, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Technician I, II, or III

College Station, TX

$31K - $39K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience programing and setting up CNC Mill & Lathes, including 4th and 5th axis CNC machines ... Robust free training access through LinkedIn Learning plus professional development opportunities.

Technician I, II, or III

College Station, TX

$31K - $39K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience programing and setting up CNC Mill & Lathes, including 4th and 5th axis CNC machines ... Robust free training access through LinkedIn Learning plus professional development opportunities.

Research Engineer II

College Station, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Robust free training access through LinkedIn Learning plus professional development opportunities ... Access to Engineer Your Wellness programs that provide opportunities for employees to engage in ...

Showing results 21-40

Machine Learning Engineer information

See College Station, TX salary details

$26.1K

$106.5K

$160K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in College Station, TX is $106,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $128,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in College Station, TX?

The most popular types of Machine Learning Engineer jobs in College Station, TX are:

What are popular job titles related to Machine Learning Engineer jobs in College Station, TX?

For Machine Learning Engineer jobs in College Station, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in College Station, TX look for?

The top searched job categories for Machine Learning Engineer jobs in College Station, TX are:

What cities near College Station, TX are hiring for Machine Learning Engineer jobs?

Cities near College Station, TX with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in College Station, TX as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,492 per year, or $51.2 per hour.

Tenure-Track: Assistant or Associate Professor - Thermo-Fluids

Texas A&M University

College Station, TX • On-site

Full-time

Posted 26 days ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities


Job description

Description
The J. Mike Walker '66 Department of Mechanical Engineering in the College of Engineering at Texas A&M University invites applications for a tenure-track faculty position with a nine-month academic appointment, and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning fall 2027. Applicants will be considered for the faculty titles of Assistant Professor or Associate Professor depending on qualifications and credentials. The department will consider candidates with demonstrated expertise and experience in thermo-fluids science and engineering, encompassing both fundamental and applied research in fluid mechanics, heat transfer, and energy-related systems. Particular interest is directed toward researchers advancing the understanding, modeling, experimentation, prediction, and control of complex fluid-thermal phenomena. Fundamental areas of interest include turbulence, flow instabilities, multiphase flows, environmental flows, combustion, reacting flows, thermal management, and hypersonic propulsion. The department welcomes expertise in both computational and experimental approaches, including computational fluid dynamics, data-driven and machine learning methods, reduced-order modeling, uncertainty quantification, and advanced measurement and diagnostic techniques. Applications may span aerospace and propulsion systems, energy conversion and storage, advanced manufacturing, defense technologies, and emerging engineering systems where fluid, thermal, and reacting-flow processes play a critical role. Successful candidates will join a collaborative and interdisciplinary community of faculty addressing pressing challenges in energy, transportation, and advanced engineering systems, with the goal of developing transformative scientific insights and impactful engineering solutions.
The successful applicant will be required to teach, advise and mentor graduate students, develop an independent, externally funded research program, participate in all aspects of the department's activities, and serve the profession. Strong written and verbal communication skills are required. Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline. Applicants should consult the department's website to review our academic and research programs (http://engineering.tamu.edu/mechanical).
The J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University in College Station, Texas has a strong local, national, and international reputation as a premier undergraduate and graduate education and research program. The department's undergraduate program is ranked No. 7 and its graduate program is ranked No. 6 among public institutions by U.S. News & World Report. The department ranks No. 1 nationally among public mechanical engineering programs, according to the ShanghaiRanking global ranking of academic subjects. The department has 76 tenured or tenure track faculty and 25 research and teaching professionals that support our teaching, research, and service missions. The department has approximately 1,500 undergraduate students (sophomore-senior) and over 325 Ph.D. students critical to our mission. Our doctoral program produces highly trained mechanical engineers for placement as professors and researchers at competitive universities, in industries in Texas, the nation, and internationally, and as researchers in national laboratories. There is also a large M.S. program with approximately 175 students who are an integral part of the research enterprise of the department. Mechanical engineering graduate students are supported by a broad spectrum of funding sources, including federal and international research grants, industrial contracts, and through major research centers, such as the Turbomachinery Laboratory, Center for Autonomous Vehicles and Sensor Systems, Center of Innovation in Mechanics for Design, INVENT Lab, StarLab and the Energy Systems Laboratory. We also have about 75 Master of Engineering students enrolled.
Texas A&M University is located in the twin cities of Bryan and College Station, Texas, with a population of more than 280,000, and is conveniently centrally located in a triangle formed by Dallas, Houston and Austin. Texas A&M has more than 74,000 graduate and undergraduate students enrolled at the College Station campus. Research expenditures total more than $922 million annually, ranking Texas A&M in the top tier of universities nationwide. The Texas A&M University System has an endowment valued at more than $13.6 billion and Texas A&M University ranks 3rd among U.S. public universities and 8th overall. With more than 820 faculty members and over 24,700 students, the College of Engineering is one of the largest engineering schools in the country. The college is ranked 9th in graduate studies and 9th in undergraduate programs among public institutions by U.S. News & World Report. The college is also ranked 1st in research expenditures by the American Society for Engineering Education. Texas A&M is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and having policies that contribute to work-life balance.
Qualifications
Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline.
Application Instructions
Applicants must submit a cover letter, curriculum vitae, and personal statement to include philosophy and plans for research, teaching, and service as applicable, and a list of four references (including postal addresses, phone numbers and email addresses) by applying for this specific position at apply.interfolio.com/189116. Full consideration will be given to applications received by December 1, 2026. Applications received after that date may be considered until positions are filled. It is anticipated the appointment will begin in fall 2027.
For more information, contact Rebecca Simon at rebeccasimon@tamu.edu.

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