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Entry Level Machine Learning Jobs in New Mexico (NOW HIRING)

Entry Level Operator

Albuquerque, NM · On-site

$15.75 - $19.25/hr

Basic Function HF Sinclair Asphalt is seeking an Entry Level Operator ... This position will be responsible for learning the skills necessary to assist with production and ...

Assists with entry-level tasks and services aligned with the department's goals and projects ... learning. * Collaborates with other departments and act as a liaison as needed to support ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry level machine learning in New Mexico is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.41 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in New Mexico?

The most popular types of Machine Learning jobs in New Mexico are:

What are popular job titles related to Entry Level Machine Learning jobs in New Mexico?

For Entry Level Machine Learning jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in New Mexico look for?

The top searched job categories for Entry Level Machine Learning jobs in New Mexico are:

What cities in New Mexico are hiring for Entry Level Machine Learning jobs?

Cities in New Mexico with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $35,203 per year, or $16.9 per hour.

Intern, Technical High School Year Round - Counter-Autonomy and Machine Learning, Onsite

Albuquerque, NM • On-site

Sandia
Marketing • 11 - 50 employees

Part-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

What Your Job Will Be Like
We are seeking a Technical High School Intern for a year-round position in our Counter-Autonomy and Intrusion Detection department. Daily activities will involve working with staff members and technologists to support multiple projects requiring algorithm development and programming. This involves set up of equipment and sensors for tests and experiments, data collection, data labeling, and data curation for machine learning projects. The successful candidate must be willing to learn a variety of topics in the domain of physical security, computer science, robotics, computer engineering, and data science.
In this job you will:
  • Perform entry-level work within a mentored research and development and engineering environment working in conjunction with Sandia staff on projects that involve a variety of disciplines.
  • Support projects in the fundamentals of science and engineering applied to physical security.
  • Assist in the application of engineering principles and methods to develop or demonstrate new designs, concepts, materials, machines, products, processes, or systems.
  • Learn the fundamentals of computer science, programming, and machine learning, while also assisting in the development of data collection software stacks.
  • Assist in maintaining and debugging multi-language software projects and working within Git repositories.
  • Learn concepts of machine learning and data science and assist staff in developing and training machine learning algorithms.
  • Write up summaries of your work and present and discuss it with your mentor.

Salary Range
At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here .
Qualifications We Require
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
  • Attending a local high school
  • Enrolled full time, as defined by the school
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 25 hours per week during the academic year, and up to 40 hours per week during the summer
  • Minimum 16 years of age
  • U.S. citizens, legal permanent residents, asylees or refugees in the U.S.

Qualifications We Desire
Stronger candidates will possess many of the following desired qualifications:
  • Self-starter and willing to learn new skills in a team environment
  • Good oral and written communication skills
  • A high GPA
  • General knowledge and understanding of a suite of software, such as Microsoft Office
  • Ability to work at least 5 hours per week onsite at Sandia National Laboratories during the school year, with exceptions for academic deadlines / needs
  • Ability to work up to 40 hours per week during the summer or school breaks
  • Basic programming familiarity or willingness to learn (e.g., Python, C, C++, Matlab, Java, or similar)
  • Willingness to work outdoors during summers assisting in field testing and data collection activities under supervision of lab staff
  • Strong problem-solving and analytical skills
  • Familiarity with Git version control
  • Experience designing software programs, UML diagramming, and object-oriented design principles.
  • A technical hobby outside of school, such as building and flying drones, mechatronics, building computer networks, building single-board computer systems, and 3D printing

Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
About Our Team
The Mission of dept 6554 is to counter evolving autonomous threats and improve the performance of physical security systems. We conduct research, development, testing, and evaluation of components and technologies to advance the science of physical security. This enables customers to mitigate threats to nuclear materials and other high value targets by improving the ability to sense, assess, track, and respond to physical intrusions. Our work addresses current physical security operational challenges and evolving threats such as unmanned systems, including unmanned aircraft systems (UAS). We are assisting NNSA in implementing unmanned systems into their operations. We specialize in the testing of Counter-UAS (C-UAS) systems and technologies, which counter the danger posed by UAS, and we are the C-UAS test agent for DOE, NNSA, and DHS. We leverage innovations from industry, related laboratory-directed R&D, novel signature collection and processing techniques, and partnerships across the laboratory to address real-world problems. We are creating software solutions to implement and deploy the results of our work across the NNSA physical security enterprise.
About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
Security Clearance
This position does not currently require a Department of Energy (DOE) security clearance.
Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States.
If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.