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Entry Level Machine Learning Engineer Jobs in New Mexico

HF Sinclair

Entry Level Operator

Artesia, NM · On-site

$15.25 - $18.50/hr

... Entry Level Operator ... This position is responsible for learning the skills necessary to assist with production and ...

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Entry Level Machine Learning Engineer information

See New Mexico salary details

$29.1K

$67.2K

$114.3K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level machine learning engineer in New Mexico is $67,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $76,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in New Mexico? The most popular types of Machine Learning Engineer jobs in New Mexico are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in New Mexico? For Entry Level Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in New Mexico look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in New Mexico are:
What cities in New Mexico are hiring for Entry Level Machine Learning Engineer jobs? Cities in New Mexico with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in New Mexico as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $67,217 per year, or $32.3 per hour.
Scientific Software Developer (ABQ)

Scientific Software Developer (ABQ)

Stellar Science

Albuquerque, NM • On-site

Full-time

Re-posted 19 days ago

Job description

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code, and want to learn and adopt modern C++ practices.

Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.

Minimum Requirements:

  • B.S. in math, science, engineering field, or computer science
  • Substantial software development experience
  • Object-oriented design and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Interest in developing modern, high quality C++20/23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites

Desired:

  • Advanced degree (M.S. or Ph.D.) in science, engineering field, math, or computer science
  • Active security clearance

Experience in any of the following is a plus:

  • Additional languages: Java, Python, TypeScript
  • Relevant libraries: Boost, Eigen
  • Cross-platform software development on Linux, Windows, Mac
  • 3D graphics using OpenGL, Open Scene Graph and/or WebGL
  • User interface development with Qt, Java Swing, Material UI
  • Supercomputing: OpenMP, threads, MPI, GPUs
  • Image processing, imagery analysis, or computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)

A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It should be long enough to help evaluate your programming and software engineering skills.

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