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Machine Learning Research Jobs in New Mexico (NOW HIRING)

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and foundation models. * Experience conducting independent research and translating ...

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Machine Learning Research information

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$11

$21

$36

How much do machine learning research jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning research in New Mexico is $21.53, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.08 per hour, depending on experience, location, and employer.

What is machine learning research?

Machine learning research is the scientific study and development of algorithms and statistical models that enable computers to perform tasks without explicit instructions, instead relying on patterns and inference. Researchers in this field work on advancing the theory, design, and application of machine learning systems, exploring areas such as deep learning, reinforcement learning, and unsupervised learning. They often publish their findings, develop new techniques, and collaborate with industry to solve real-world problems. This work is foundational to progress in artificial intelligence and has wide-ranging impacts across technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree (Master's or PhD) in a related field. Proficiency in programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud computing platforms are typically required. Strong analytical thinking, creativity, and effective communication skills help researchers devise novel solutions and collaborate within multidisciplinary teams. These skills are essential for driving innovation, solving complex problems, and advancing the field of machine learning.

What are some common challenges faced by professionals in machine learning research and how can they be overcome?

One of the main challenges in Machine Learning Research is dealing with insufficient or poor-quality data, which can hinder model performance and generalizability. Additionally, keeping up with the rapid pace of advancements in the field requires continuous learning and adaptation. Collaborating effectively with multidisciplinary teams, such as data engineers and domain experts, is also crucial but can present communication challenges. Overcoming these obstacles typically involves building strong data pipelines, dedicating time for ongoing education, and honing collaboration and communication skills to bridge gaps between technical and non-technical stakeholders.

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

AspectMachine Learning ResearchData Scientist
Required CredentialsAdvanced degrees (Master's/PhD) in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, universitiesTech, finance, healthcare, e-commerce, and more
Common Search & ComparisonYesYes

Machine Learning Research focuses on developing new algorithms and advancing theoretical understanding, often in academic or R&D settings. Data Scientists apply existing ML techniques to analyze data, build models, and generate insights for business decisions. While both roles require strong technical skills, Machine Learning Research emphasizes innovation and theory, whereas Data Scientists focus on practical application and data analysis.

How to become a machine learning researcher?

To become a machine learning researcher, typically a strong foundation in mathematics, statistics, and programming is required, along with advanced degrees such as a master's or Ph.D. in computer science, data science, or related fields. Gaining experience with machine learning frameworks like TensorFlow or PyTorch, publishing research, and staying current with academic literature are also important steps.

Is machine learning research a high paying job?

Machine learning research positions are generally well-paid due to the high demand for specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, education, and location, but they tend to be higher than average for many tech roles, especially in industry or academia with strong research funding.

What does a machine learning researcher do?

A machine learning researcher develops algorithms and models that enable computers to learn from data and improve their performance over time. They analyze large datasets, experiment with different techniques, and publish findings to advance the field, often using tools like Python, TensorFlow, or PyTorch. Their work typically involves both theoretical understanding and practical implementation to solve complex problems across various industries.

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

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

Infographic showing various Machine Learning Research 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 $44,792 per year, or $21.5 per hour.

Computational Plasma Physics/Machine Learning Postdoc

Los Alamos, NM • On-site

Los Alamos National Laboratory
Scientific Research and Development Services • 5 - 10K employees

$97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz


Job description

What You Will Do
The successful candidate will develop machine learning-enabled complexity reduction methods for multiscale plasma physics simulations. Research topics include reduced-order modeling, surrogate modeling, uncertainty quantification, and scalable computational algorithms for plasma applications.
This position is an exciting opportunity to join a highly collaborative team and work alongside leading experts from a wide range of disciplines. The project brings together statisticians, applied mathematicians, and physicists within T-5, while also fostering close collaborations with other groups at Los Alamos-including the Intelligence and Space Research Division and the Accelerator Operations and Technology Division. Beyond Los Alamos, the work connects with teams across the U.S. and around the world, offering broad opportunities to engage and contribute at the forefront of science.
What You Need
Minimum Job Requirements:
  • A Ph.D. in computational plasma physics, applied mathematics, computational science or a closely related field, completed within the past five years or soon to be completed
  • Experience with Machine Learning for science applications
  • Experience programing in Fortran, C++, Python
  • Experience with numerical methods
  • Demonstrated research ability in computational plasma physics and/or machine learning, as evidenced by publications, reports, presentations, awards, etc.
  • Excellent communication skills (both oral and written)


Education/Experience
: By the start of the position the applicant must have completed a PhD in a relevant STEM field.
Desired Qualifications:
  • Ability to work independently as well as to work effectively as a part of a team in a multi-disciplinary
  • environment and interact with people with a variety of expertise
  • Willingness and flexibility to take initiative and pursue new research directions

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.
Note to Applicants:
LocateThe T-5 Applied Mathematics and Plasma Physics group of the Los Alamos National Laboratory has an opening for a postdoctoral position targeting the intersection of computational plasma physics and machine learning.
T-5 is an interdisciplinary group that combines expertise in applied mathematics, plasma physics, computational physics, and AI to solve critical national and international challenges ranging from energy resilience to safeguarding space.
For full consideration, please submit (A) a cover letter describing background and relevant experience, (B) a full resume, and (C) contact information for three professional references.
  • The review of the candidates will begin September 15th with the expectation that the selected candidate will start in the fall.
  • This appointment is valid for two years with a possible third year extension.
  • Minimum starting salary for a postdoctoral researcher is $97,000 and can increase with post-PhD experience and fellowships.
  • US citizenship is not a requirement
  • Strong candidates may be eligible for a Laboratory fellowship.

See https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-appointment-types.php for details.
For additional information, please contact Gian Luca Delzanno (delzanno@lanl.gov).
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 Detail
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.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
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.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.
Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.
How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.
If you experience any technical issues, please email applyhelp@lanl.gov for assistance.

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