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Machine Learning Government Jobs in New Mexico (NOW HIRING)

Senior Systems Test Engineer

Las Cruces, NM · On-site

$81K - $111K/yr

Understanding of Machine Learning and Neural Network algorithms * Working knowledge of coding ... federal government contractor. We do not discriminate against any employee or applicant for ...

IT Project Manager 3

Los Alamos, NM · On-site

$89K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience working in a government or national laboratory environment. * Experience managing AI initiatives, including LLM, machine learning, predictive analytics, or automation projects.

Understanding of Machine Learning and Neural Network algorithms * Experience developing engineering ... EEO Statement We are an equal opportunity employer and federal government contractor. We do not ...

Machinist

Albuquerque, NM · On-site

$30 - $34/hr

  • Medical

  • Dental

  • Vision

We make parts for government contractors and manufacturers... and the programs our parts go into ... Keep your machine and your area clean. A messy bench tells us everything. * (Lead) Review quotes ...

We make parts for government contractors and manufacturers... and the programs our parts go into ... Keep your machine and your area clean. A messy bench tells us everything. * (Lead) Review quotes ...

Full Stack Engineer (AI Platform)

Roswell, NM · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement machine learning models and AI algorithms into applications. * Collaborate with cross ... We will provide the federal government with your Form I-9 information to confirm that you are ...

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Showing results 1-20

Machine Learning Government information

See New Mexico salary details

$13

$22

$30

How much do machine learning government jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning government in New Mexico is $22.12, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $24.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the machine learning government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a machine learning government?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

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

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

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

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

Infographic showing various Machine Learning Government job openings in New Mexico as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,000 per year, or $22.1 per hour.

Scientific Software Developer (ABQ)

Stellar Science

Albuquerque, NM • On-site

Full-time

Re-posted 22 days ago


Job description

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code using modern C++ practices.
Support software development in the following domains: computer vision and image processing, image simulation, laser or high-power microwave source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
Minimum Requirements:

  • B.S. in math, science, computational engineering, an engineering field, or computer science
  • Substantial software development experience
  • Object-oriented development and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Enthusiasm for developing modern, high-quality C++23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or        customer sites


Desired:

  • Advanced degree (M.S. or Ph.D.) in science, an engineering field, math, or computer science
  • Active security clearance


Experience in any of the following is a plus:

  • Additional languages: Python, Java, TypeScript
  • C++ Boost, Eigen libraries
  • Cross-platform software development on Linux and Windows
  • 3D graphics using OpenGL, Open Scene Graph, Vulkan, and/or WebGL
  • User interface development with Qt, Material UI, Java Swing
  • Supercomputing: OpenMP, threads, MPI, GPUs/CUDA/Optix
  • Image processing, imagery analysis, or computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Spacecraft subsystem modeling
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)
  • Experience with client- and server- side web applications
  • Experience or interest in building collaborative web tools


A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It should be long enough to help evaluate your programming and software engineering skills.
 

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