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Machine Learning Researcher Jobs in Albuquerque, NM

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment. * Build and maintain CI/CD and MLOps pipelines for model ...

Post Doctoral Fellow

Albuquerque, NM · On-site

$47K - $64K/yr

... of machine learning models and standards for electronic structure predictions of biomolecules. In addition, the post-doctoral associate will present research findings in peer-reviewed journal ...

Electrician 2

Albuquerque, NM

$24.25 - $33.25/hr

... learning, research, and innovation. Key Responsibilities: As an Electrician 2, you will ... Dismantle electrical machinery and replace defective parts such as brushes and armatures. Install ...

Electrician 2

Albuquerque, NM · On-site

$24.25 - $33.25/hr

... learning, research, and innovation. Key Responsibilities: As an Electrician 2, you will ... Dismantle electrical machinery and replace defective parts such as brushes and armatures. Install ...

Electrician 2

Albuquerque, NM · On-site

$24.25 - $33.25/hr

... learning, research, and innovation. Key Responsibilities: As an Electrician 2, you will ... Dismantle electrical machinery and replace defective parts such as brushes and armatures. Install ...

Electrician 2

Albuquerque, NM · On-site

$24.25 - $33.25/hr

... learning, research, and innovation. Key Responsibilities: As an Electrician 2, you will ... Dismantle electrical machinery and replace defective parts such as brushes and armatures. Install ...

Showing results 41-60

Machine Learning Researcher information

See Albuquerque, NM salary details

$29.1K

$109.6K

$159.5K

How much do machine learning researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning researcher in Albuquerque, NM is $109,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $149,300.00 per year, depending on experience, location, and employer.

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

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 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 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 are popular job titles related to Machine Learning Researcher jobs in Albuquerque, NM?

For Machine Learning Researcher jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Machine Learning Researcher jobs in Albuquerque, NM look for?

The top searched job categories for Machine Learning Researcher jobs in Albuquerque, NM are:

Infographic showing various Machine Learning Researcher job openings in Albuquerque, NM as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $109,632 per year, or $52.7 per hour.

Assistant/Associate Professor of Translational Neuroscience

Albuquerque, NM • On-site

American Society for Experimental Neurotherapeutics

Other

Posted 10 days ago


Job description

The Mind Research Network (MRN), in partnership with Lovelace Biomedical Research Institute (LBRI), invites applications for a faculty position in translational neuroscience. The successful candidate will join a team of outstanding investigators who are eager to shape the future of translational neuroscience through collaborative, high-impact research that advances the understanding, diagnosis, prevention, and treatment of brain and behavioral disorders.

Recruitment is focused on exceptional investigators at the advanced assistant professor or associate professor level, although appointment and rank will be commensurate with qualifications and experience.

This recruitment coincides with the installation of a new MEGIN TRIUX neo magnetoencephalography (MEG) system, further expanding MRN's world-class neuroimaging capabilities. The TRIUX neo complements MRN's research-dedicated Siemens Prisma 3T MRI, research-dedicated mobile MRI program, and advanced neuro-informatics resources, creating an exceptional environment for innovative, multimodal translational neuroscience research.

We seek an innovative, collaborative investigator with an established or emerging independent research program who will leverage MRN's advanced neuroimaging infrastructure, multidisciplinary research community, and strategic partnerships to build a nationally recognized translational neuroscience program.

The successful candidate will join a highly collaborative scientific community where research spans advanced neuroimaging, computational neuroscience, biomarker discovery, mechanistic neuroscience, clinical investigation, and nonclinical model systems. Close collaborations across MRN, Lovelace Biomedical Research Institute, and the University of New Mexico create unique opportunities to integrate human neuroimaging with mechanistic studies, biomarker discovery, and clinical research while developing innovative, high-impact collaborative programs.

Startup package and the period of guaranteed support are negotiable.

  • Ph.D., M.D., or equivalent doctoral degree in Neuroscience, Psychology, Psychiatry, Neurology, Developmental Neurobiology, Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of experience or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained.
  • Experience with external grant funding, publishing and national recognition.
  • Demonstrated success obtaining competitive extramural funding with a strong trajectory toward sustained federal support. Active federal funding is preferred.
  • Experience conducting multimodal neuroimaging research utilizing MRI, MEG, EEG, or related methodologies
  • Experience with longitudinal cohorts, developmental or clinical populations, community-based research, or large-scale datasets
  • Expertise in computational modeling, machine learning, predictive analytics, biomarker development, or translational neuroscience
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