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Artificial Intelligence And Machine Learning Jobs in Rio Rancho, NM

Tier 2 Support Technician

Albuquerque, NM · On-site

$20.75 - $28.50/hr

  • Retirement

  • PTO

... and custom machine learning models to turn data into meaningful business outcomes. Position ... Paid holidays and PTO Artificial Intelligence Innovation: Join Netsurit at the forefront of AI ...

Maintenance Electrician

Bernalillo, NM

$90K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role supports production operations by ensuring that electrical machinery, controls, and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Senior AI OPS Engineer

Albuquerque, NM · On-site

$103 - $155/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Utilize IT Service Intelligence (ITSI) to correlate multi‑source events, reducing noise and ...

Senior AI OPS Engineer

Albuquerque, NM · On-site

$101K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and ...

NAVWAR Engineer

Albuquerque, NM · On-site

  • Medical

  • Retirement

  • PTO

You will keep up to date with emerging technologies in data science, artificial intelligence, and machine learning, applying them to PNT-related challenges to support JNWC's goals. * You shall use ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you ...

Showing results 21-40

Artificial Intelligence And Machine Learning information

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for artificial intelligence and machine learning in Rio Rancho, NM is $23.76, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $25.14 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

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

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

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For Artificial Intelligence And Machine Learning jobs in Rio Rancho, NM, the most frequently searched job titles are:

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Cities near Rio Rancho, NM with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $49,427 per year, or $23.8 per hour.

Senior/Principal AI Engineer - Embedded & FPGA Systems, Onsite

Sandia

Albuquerque, NM • On-site

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Job description

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.
What Your Job Will Be Like
We are seeking a motivated AI engineer to join Department 5328, Smart Electronics Software, in advancing the way high-TRL software is developed and deployed on mission-relevant electronics platforms. In this role, you will help pioneer the use of agentic coding workflows to accelerate the implementation, verification, and sustainment of robust software for embedded processors, real-time systems, and FPGA-based architectures.
You will work as part of a multidisciplinary team focused on bringing artificial intelligence and autonomy closer to the edge. This includes deploying AI algorithms onto constrained electronics platforms to enable real-time autonomy, decision support, signal processing, and intelligent control in operational environments. The work will span concept development, rapid prototyping, hardware/software integration, testing, and transition to high-reliability applications.
On any given day, you may be called on to:
  • Develop, test, and integrate high-TRL software for embedded, electronics, and FPGA platforms.
  • Apply agentic coding tools and AI-assisted development methods to improve software productivity, quality, and maintainability.
  • Implement AI, machine learning, and autonomy algorithms for real-time execution on resource-constrained hardware.
  • Collaborate with electronics, firmware, software, systems, and mission-domain experts to develop integrated solutions.
  • Optimize algorithms and software for performance, latency, power, memory, and reliability constraints.
  • Support hardware-in-the-loop testing, embedded platform bring-up, verification, validation, and fieldable prototype demonstrations.
  • Contribute to software architectures, development workflows, and best practices for trusted AI-enabled embedded systems.
  • Explore emerging tools and methodologies for applying generative AI and autonomous coding agents to mission software development.

This position is ideal for someone who enjoys working at the intersection of modern software engineering, embedded systems, FPGA development, artificial intelligence, and national security applications. You will have the opportunity to shape how next-generation intelligent systems are developed and deployed on advanced electronics platforms.
Due to the nature of the work, the selected applicant will be required to work onsite. Relocation provided for those who qualify.
Applicants on this requisition may be interviewed by multiple organizations at Sandia National Laboratories.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
  • A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
  • Ability to acquire and maintain a DOE Q clearance and SCI clearance, which may require a polygraph.

Qualifications We Desire
The ideal R&D S&E AI candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in a relevant computationally-intensive discipline where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
  • Experience in developing software and AI systems for enterprise and national security applications.
  • Demonstrated software development skills and familiarity with modern software development practices.
  • Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.

Also for this posting we are seeking individuals with the following experience:
  • Demonstrated experience designing, developing, integrating, and deploying high-reliability software on embedded, electronics, real-time, or FPGA-based platforms.
  • Proven ability to lead software or firmware development efforts from requirements definition through architecture, implementation, integration, verification, validation, and delivery.
  • Experience developing or deploying AI, machine learning, signal processing, autonomy, or decision-support algorithms on edge, embedded, GPU, FPGA, SoC, or other resource-constrained hardware platforms.
  • Strong proficiency in one or more relevant programming languages, such as C, C++, Python, Rust, VHDL, Verilog, SystemVerilog, MATLAB, or similar languages used in embedded, FPGA, or high-performance systems.
  • Experience with embedded Linux, real-time operating systems, bare-metal development, hardware abstraction layers, device drivers, communication interfaces, or board support packages.
  • Experience with FPGA and digital design workflows, including RTL development, high-level synthesis, timing closure, simulation, synthesis, hardware/software co-design, and FPGA-based acceleration.
  • Demonstrated ability to optimize software or algorithms for latency, throughput, power, memory, determinism, reliability, or hardware resource constraints.
  • Experience establishing or improving software engineering practices for high-TRL systems, including requirements traceability, configuration management, automated testing, code quality, cybersecurity considerations, documentation, release processes, and maintainability.
  • Familiarity with verification and validation approaches for real-time, embedded, AI-enabled, or mission-critical systems, including hardware-in-the-loop testing, simulation environments, test automation, and performance characterization.
  • Experience applying AI-assisted development, agentic coding workflows, automated code generation, or advanced developer tooling to improve productivity, quality, testing, documentation, or sustainment of software systems.
  • Ability to evaluate emerging AI coding tools, define appropriate guardrails, and integrate them into disciplined engineering workflows for high-consequence or high-reliability software.
  • Demonstrated technical leadership in multidisciplinary teams, including coordinating work across software, firmware, electronics, systems engineering, AI/ML, test, and mission-domain contributors.
  • Experience mentoring junior staff, interns, technologists, or students in software engineering, embedded development, FPGA workflows, AI deployment, or modern development practices.
  • Ability to interface with customers, sponsors, and stakeholders to understand mission needs, define technical approaches, communicate risks, and deliver impactful solutions.
  • Experience transitioning prototypes, research software, or laboratory demonstrations into robust, maintainable, deployable systems.
  • Strong written and verbal communication skills, including experience preparing technical reports, design documentation, test plans, peer-reviewed publications, proposals, or briefings.

About Our Team
Smart Electronics Software specializes in next-level software development, delivering custom-built solutions tailored to address the unique challenges of complex national security problems. Committed to software best practices, our team harnesses our diverse expertise, modern tools, and advanced methodologies to create robust, reliable, and cutting-edge applications that drive innovation and operational excellence.
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.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance and SCI access, both of which require US citizenship. SCI access may also require a polygraph examination. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain these levels of access may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
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.