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Machine Learning Jobs in Las Cruces, NM (NOW HIRING)

Varsity Tutors

Python Tutor

El Paso, TX · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Business Analytics Tutor

El Paso, TX · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Varsity Tutors

Statistics Graduate Level Tutor

El Paso, TX · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Linear Algebra Tutor

El Paso, TX · Remote

$18 - $40/hr

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Arcfield

Senior Systems Test Engineer

Las Cruces, NM · On-site

$81K - $111K/yr

Understanding of Machine Learning and Neural Network algorithms * Working knowledge of coding/scripting techniques (e.g. C, Python, Matlab, IDL) * Working knowledge of various basic ELTs * Proficient ...

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All JobsMachine Learning JobsMachine Learning Jobs in Las Cruces, NM

Machine Learning information

See Las Cruces, NM salary details

$25.2K

$42.1K

$87.1K

How much do machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning in Las Cruces, NM is $42,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Las Cruces, NM?

The most popular types of Machine Learning jobs in Las Cruces, NM are:

What are popular job titles related to Machine Learning jobs in Las Cruces, NM?

For Machine Learning jobs in Las Cruces, NM, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Las Cruces, NM look for?

The top searched job categories for Machine Learning jobs in Las Cruces, NM are:

What cities near Las Cruces, NM are hiring for Machine Learning jobs?

Cities near Las Cruces, NM with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Las Cruces, NM as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,126 per year, or $20.3 per hour.

Assistant Professor - Artificial Intelligence Education

New Mexico State University

Las Cruces, NM • On-site

Full-time

Posted 18 days ago

New Mexico State University rating

7.3

Company rating: 7.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

338th of 629 rated colleges and universities

Job description

Department Contact: Enrico Pontelli, 575-646-2001, epontell@nmsu.edu
Internal or External Search: External - Open to all applicants
Advertising Summary: New Mexico State University invites applications for two tenure-track Assistant Professor positions in Applied AI (9-month appointments). Faculty will join an interdisciplinary cluster hire and be affiliated with the new Institute for Applied Practice in AI and Machine Learning.
Position Details
Position Title: Assistant Professor - Artificial Intelligence Education
College/Division: Arts and Sciences College
Department: 330500-COMPUTER SCIENCE
Location: Las Cruces
Offsite Location (if applicable):
Target Hourly/Salary Rate: Commensurate with qualification
Appointment Full-time Equivalency: 1.0
FLSA Status: Exempt
Bargaining Unit Announcement: This is a bargaining unit position with the National Education Association (NEA).
Contingent Upon Funding: Not Applicable
Standard Work Schedule: Standard (M-F, 8-5)
If Not a Standard Work Schedule:
Job Duties and Responsibilities: Faculty in this position are expected to:
• Conduct innovative, externally funded research on the teaching, learning and application of artificial intelligence, including AI pedagogy, curriculum design, credentialing, and the study of the most effective ways to teach AI to different audiences (students, professionals, educators, and community members).
• Teach undergraduate and graduate courses in artificial intelligence and its applications, contributing to AI curriculum development across disciplines
• Partner with domain specialists across colleges to design and build curricula that embed AI into disciplinary programs of study.
• Lead the development of microcredentials, certificates, and other flexible credentialing pathways in AI.
• Develop and deliver AI training and workforce development programs for diverse audiences within and beyond the university.
• Advise and mentor students at the undergraduate, master's, and doctoral levels.
• Engage in professional and institutional service, including outreach, committee participation, and strategic initiatives.
• Dedicate a portion of assigned effort to the educational activities of the NMSU Institute for Applied Practice in AI and Machine Learning, and promote NMSU's role as a leader in AI education for the state and region.
Qualifications
Required Education and Experience:Education: Earned Ph.D. in a discipline relevant to the position (e.g., artificial intelligence, computing or computational sciences, learning sciences, education, or a relevant AI applied field, e.g., agriculture or manufacturing) by the time of hire.
Experience:
• Demonstrated expertise as an AI generalist with a primary focus on teaching, AI curriculum development, credentialing, pedagogy, or educational integration of artificial intelligence.
• Evidence of scholarly productivity or high potential for conducting research in educational frameworks, curriculum design, or pedagogical methods related to AI.
• Experience or strong potential for securing external funding to support computing/AI education and program development.
• Demonstrated commitment to excellence in teaching, curriculum development, and student mentoring.
Additional Qualifications:
• Ability to work effectively in a collaborative, multidisciplinary academic environment.
• Preferred experience includes development of microcredentials or professional training programs, integration of AI into non-computing curricula, responsible AI practices, and support of diverse student populations.
Equivalent Qualifications:
Preferred Qualifications:Please submit the following documentation with the application:
-CV
-Statement of Teaching
-Statement of Research
Special Certification/Licensure:
Working Conditions and Physical Effort
Environment: Work is normally performed in a typical interior/office work environment.
Physical Effort: No or very limited physical effort required.
Lifting Requirements: Requires handling of average-weight objects up to 10 pounds or some standing or walking.
Risk: No or very limited exposure to physical risk.

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