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Artificial Intelligence Machine Learning Engineer Jobs in New Mexico

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See New Mexico salary details

$30.5K

$124.8K

$187.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence machine learning engineer in New Mexico is $124,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in New Mexico?

For Artificial Intelligence Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in New Mexico look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities in New Mexico with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in New Mexico as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,787 per year, or $60 per hour.

AI R&D Science/Engineering Project Leader 1

Los Alamos National Security LLC

Los Alamos, NM • On-site

$90 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

What You Will Do

Join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security; the work we do at Los Alamos National Laboratory (LANL) matters to our country and the world.

You will work alongside scientific leaders to manage and ensure the timely completion of scientific projects in artificial intelligence and machine learning (AI/ML). This will include working closely with principal investigators and other technical leaders to develop work packages defining milestones and deliverables to meet specific programmatic needs, identifying technical requirements, defining and/or executing budgets and schedules, organizing hiring and onboarding, planning and facilitating visits from a variety of stakeholders, and oversight of the project team in the planning, tracking, and execution of the project from instantiation to completion. You will work with sponsors (both internal and external), customers, line management, program management, and other stakeholders to communicate status updates, challenges, and needs of projects and personnel.

This position is expected to work closely with A-9-an AI-focused team-of-teams composed from the various groups within the Analytics, Intelligence & Technology Division-by supporting the organization and its constituent teams. A-9's mission is to advance capabilities related to the use, evaluation, and development of AI as it relates to assessing, preparing for, and responding to potentially catastrophic nuclear, chemical, biological, cyber, natural and emerging technological threats. A-9 participates in foundational and applied R&D, threat analysis, communication and education, hardware and software infrastructure, and cross-organization AI Leadership.

Agility and adaptability are highly prized and emphasized; because the global threat landscape constantly evolves, so too does our R&D portfolio. Some examples of current stakeholders include the U.S. Department of Energy, National Nuclear Security Administration, Department of War, Department of Homeland Security, Intelligence Community, Defense Threat Reduction Agency, and many others. To achieve this, we maintain a highly multidisciplinary team of subject matter experts, from mathematicians and economists to engineers and physicists, to computer and data scientists, to intelligence analysts.

What You NeedMinimum Job Requirements:
  • Experience developing project plans and detailed work breakdown structures, negotiating work packages, and assigning various aspects of work to successfully complete project deliverables.
  • Oversees small project team(s) in the planning, tracking, and execution of project plans from initiation to completion.
  • Uses judgment within defined practices in identifying potential project risks, developing risk mitigation strategies and corrective actions, and recommending risk acceptance/avoidance for all aspects of the project(s).
  • Under direction, serves as the primary spokesperson to report project status and issues to the program manager and to Laboratory senior managers and workers.
  • Ability to develop and nurture effective internal customer relationships.
  • Working with a multidisciplinary team, have the ability to successfully plan, organize, lead, and monitor team efforts to completion.
  • Demonstrated ability to employ strict discretion in sensitive situations.
  • Excellent oral and written communication skills and demonstrated ability to interact effectively with all levels of laboratory and external personnel.
  • Ability and desire to obtain both Q and SCI clearances, which generally requires U.S. citizenship.
Education/Experience:

Position requires a bachelor's degree in a science or engineering related field, from an accredited institution and 2 years directly related experience; or an equivalent combination of education and experience directly related to the occupation.

Desired Qualifications:
  • Previous technical exposure or experience in artificial intelligence, machine learning, large language models, etc.
  • Knowledge of relevant funding organizations (e.g., DoW, DHS, DOE, Intelligence Community, etc.) and experience in organizing or facilitating proposals for these organizations.
  • Familiarization with common project management software and practices for tracking project and financial data.
  • Working knowledge of U.S. priorities with respect to national and global security.
  • Active Q and SCI clearances.
Work Environment:Work Location:

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Position commitment:

Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Note to Applicants:

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security.

Our generous benefits package includes:

  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q/SCI

(Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*Eligibility requirements:

To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

New-Employment Drug Test:

The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Regular position:

Term status Laboratory employees applying for regular-status positions are converted to regular status.

Equal Opportunity:

Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.

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