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Machine Learning Researcher Jobs in New Mexico (NOW HIRING)

University of New Mexico

HS Research Tech 2

Albuquerque, NM · On-site

$17.50 - $24/hr

Experience or familiarity with artificial intelligence and machine learning methods is highly desirable. Prior research experience in a laboratory, academic, or applied research setting is preferred.

University of New Mexico

HS Research Tech 2

Albuquerque, NM · On-site

$18.81 - $24.52/hr

Experience or familiarity with artificial intelligence and machine learning methods is highly desirable. Prior research experience in a laboratory, academic, or applied research setting is preferred.

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in New Mexico

Machine Learning Researcher information

See New Mexico salary details

$29.1K

$109.6K

$159.4K

How much do machine learning researcher jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning researcher in New Mexico is $109,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $149,200.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are popular job titles related to Machine Learning Researcher jobs in New Mexico? For Machine Learning Researcher jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in New Mexico look for? The top searched job categories for Machine Learning Researcher jobs in New Mexico are:
What cities in New Mexico are hiring for Machine Learning Researcher jobs? Cities in New Mexico with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in New Mexico as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,604 per year, or $52.7 per hour.
HS Research Tech 2

HS Research Tech 2

University of New Mexico

Albuquerque, NM • On-site

$17.50 - $24/hr

Other

Posted 9 days ago

University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

65th of 536 rated colleges and universities

Job description

The Division of Epidemiology, Biostatistics, and Preventive Medicine within the Department of Internal Medicine is seeking a HS Research Technician 2 to support computational biology research in Dr. Vadigepalli's research laboratory. This position will contribute to data-driven research activities focused on the analysis and modeling of complex biological and health-related data.

The successful candidate will demonstrate strong programming skills in Python, R, and/or MATLAB, with the ability to apply computational approaches to research questions. Experience or familiarity with artificial intelligence and machine learning methods is highly desirable. Prior research experience in a laboratory, academic, or applied research setting is preferred.

The Department of Internal Medicine is a large, progressivedepartment with a diverse staff working in dedicated teams to provide qualitywork in an organized, effective, and efficient manner through innovation,training, and education. Through our collaborative work effort, we support thefaculty and enhance the missions of the department, school, Health SciencesCenter, and University.

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