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Remote Machine Learning Jobs in New Mexico (NOW HIRING)

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Salary: $65/hr-$75/hr Location: 100% Remote Schedule: Monday-Friday, 5/8s, Mountain Time Citizenship: U.S. Citizenship Required Clearance: Not required; active or prior DOE Q Clearance is preferred ...

Showing results 21-33

Remote Machine Learning information

See New Mexico salary details

$24.7K

$41.3K

$85.3K

How much do remote machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning in New Mexico is $41,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

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 Remote Machine Learning jobs in New Mexico?

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

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

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

Infographic showing various Remote Machine Learning job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,267 per year, or $19.8 per hour.

Senior/Principal, R&D Computer Scientist - HPC Development, Remote

Sandia

Albuquerque, NM • On-site, Remote

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

New


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
As an R&D Computer Scientist specializing in High-Performance Computing within a Linux environment, you will play a critical role in optimizing and maintaining our HPC systems. You will work closely with researchers and engineers to ensure that our computing resources are utilized efficiently and effectively. Your expertise will help drive performance improvements and support complex computational tasks.
This is a unique opportunity to partner with researchers and vendors to explore and influence technical directions and drive transformation in how scientific and national security applications utilize computing in the coming decade and beyond.
Key Responsibilities:
  • Analyze and optimize HPC systems and workflows to enhance performance and efficiency
  • Analyze systems¿ monitoring data using Python data-science libraries, Grafana dashboards, and machine-learning/visualization techniques to identify trends, anomalies, and actionable insights.
  • Collaborate with cross-functional teams to understand computational needs and provide tailored solutions.
  • Monitor system performance, troubleshoot issues, and implement solutions to maintain system reliability.
  • Develop and maintain documentation for system configurations, processes, and procedures.
  • Assist in the deployment and configuration of software applications in the HPC environment.
  • Provide technical support and training to users on HPC resources and best practices.
  • Stay current with advancements in HPC technologies and recommend improvements.

*The selected applicant can be a remote worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required.
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 obtain and maintain a DOE Q Clearance.

Qualifications We Desire
The ideal R&D S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).¿
  • Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).¿
  • Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.

Also, for this posting we are seeking individuals with the following experience:
  • 5 years of experience with high performance computing (HPC) systems or large scale cloud deployments based on Linux / Unix operating systems
  • Experience managing multiple systems or a variety of system architectures
  • Experience with configuration management technologies such as Ansible or Terraform
  • Experience with containerization technologies (e.g., Docker, Singularity).
  • Experience with Python, C, and/or FORTRAN programming languages
  • Strong communication skills and experience working in team environment
  • Experience with continuous deployment/continuous integration workflows.
  • Knowledge of performance profiling and benchmarking tools.
  • Experience with data visualization tools (e.g., Grafana)
  • Familiarity with cloud computing platforms and services.

About Our Team
The HPC Development Department (9328) partners with different scientific and computing disciplines at Sandia, and externally, to advance high performance computing (HPC) and operations. The Advanced Architecture Platforms are acquired and operated as part of a multi-center collaboration to explore, evaluate, and influence next-generation computing. Team members enjoy exploration of cutting-edge technologies and the ability to drive change in the field of computing.
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, which requires U.S. citizenship. 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.
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 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.