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Entry Level Machine Learning Engineer Jobs in Albuquerque, NM

Raytheon

Software Engineer II

Albuquerque, NM · On-site

$94K - $129K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Raytheon

Software Engineer II

Albuquerque, NM

$94K - $129K/yr

Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative ...

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$61.90 - $141/hr

About the role Ever‑expanding technology like IoT, machine learning, and artificial intelligence means that more structured and unstructured data is available than ever before. As a Data Engineer ...

Varsity Tutors

Python Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

LAD ENGINEERING, LLC

Machinist

Albuquerque, NM · On-site

$39/hr

About Company LAD Engineering is a precision CNC machine shop built around one idea: we solve complexity. When engineers need parts that are hard to manufacture -- tight tolerances, unusual ...

LAD ENGINEERING, LLC

Machinist

Albuquerque, NM · On-site

$30 - $34/hr

You're learning how we do things. How we set up. How we document. What a finished part looks like ... About Company LAD Engineering is a precision CNC machine shop built around one idea: we solve ...

LAD ENGINEERING, LLC

Machinist

Albuquerque, NM · On-site

$30 - $34/hr

LAD Engineering is a precision CNC job shop, ISO 9001:2015. We make parts for government ... Keep your machine and your area clean. A messy bench tells us everything. * (Lead) Review quotes ...

University of New Mexico

Post Doctoral Fellow

Albuquerque, NM · On-site

$47K - $64K/yr

Position Summary The Department of Chemical & Biological Engineering is looking for someone in this ... machine learning models and standards for electronic structure predictions of biomolecules. In ...

BAE Systems

Machinist IV

Kirtland Air Force Base, NM · On-site

$19.25 - $26.25/hr

... learning and strong execution. What You'll Do: * Responsible for working from process sheets, engineering drawings/specifications, sketches and written/oral instructions to machine various end ...

BAE Systems

Machinist IV

Albuquerque, NM · On-site

$60K - $96K/yr

... learning and strong execution. What You'll Do: * Responsible for working from process sheets, engineering drawings/specifications, sketches and written/oral instructions to machine various end ...

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Entry Level Machine Learning Engineer information

See Albuquerque, NM salary details

$28K

$64.7K

$110.1K

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

As of Sep 4, 2026, the average yearly pay for entry level machine learning engineer in Albuquerque, NM is $64,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $73,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

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 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 are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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 the most commonly searched types of Machine Learning Engineer jobs in Albuquerque, NM?

The most popular types of Machine Learning Engineer jobs in Albuquerque, NM are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Albuquerque, NM?

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

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The top searched job categories for Entry Level Machine Learning Engineer jobs in Albuquerque, NM are:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 73% In-person, 2% Hybrid, and 25% Remote job distribution, with an average salary of $64,740 per year, or $31.1 per hour.

AI Research Post Doctoral Fellow

University of New Mexico

Albuquerque, NM • On-site

$47K - $64K/yr

Full-time

Posted 23 days ago

University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

128th of 628 rated colleges and universities

Job description

AI Research Post Doctoral Fellow
Posting Number
req37416
Employment Type
Faculty
Faculty Type
Research
Hiring Department
Ctr Adv Research Computing Gen Adm (663B)
Academic Location
Vice President for Research
Campus
Main - Albuquerque, NM
Benefits Eligible
Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information.
Position Summary
The University of New Mexico's Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source agentic artificial intelligence platform as part of a federally funded, multi-institution research initiative. The Postdoctoral Researcher will design and build the project's agentic AI stack-open-weight large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration-and will direct a distributed engineering effort spanning the collaborating institutions. The position is supervised by and co-located with the Principal Investigator at CARC, with secondary mentorship from collaborating co-investigators at partner institutions. All work follows open-source, reproducible-research practice.
Primary Duties and Responsibilities
  1. Leads the design, development, and evaluation of the project's agentic AI platform, including the serving of open-weight large language models (e.g., vLLM-served models), retrieval-augmented generation pipelines, the Model Context Protocol (MCP) server framework, sandboxed code execution, and multi-agent orchestration.
  2. Directs and coordinates a distributed engineering effort, leading regular technical meetings with the partner-institution team and graduate research assistants, and presenting at design reviews and project milestones.
  3. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU systems (e.g., H100 / A100 / L40S) and national cloud allocations, and documents empirical hardware and performance findings.
  4. Leads and contributes to peer-reviewed, open-access publications (target of at least two first-author papers), and disseminates results through public code repositories, containerized reproducible workflows with persistent identifiers (DOIs), and FAIR data practices.
  5. Participates in security and responsible-AI review activities, including prototype security review and engagement with the project's external AI ethics advisory board.
  6. Co-teaches research-computing and data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project's education and workforce-development activities.
  7. Co-mentors graduate research assistants contributing to the agentic AI and MCP workstreams.
  8. Participates in the annual program meeting and represents the project's technical progress to collaborators, sponsor program staff, and the broader research community.
  9. Contributes to grant reporting and to the preparation of follow-on proposals, including empirical hardware-specification and benchmarking content.
  10. Performs related duties as assigned in support of the project's goals and the Fellow's professional development.

Mentoring and Professional Development
Consistent with UNM's expectations for postdoctoral training, the Fellow and mentor will jointly prepare an Individual Development Plan (IDP) within 30 days of hire, organized around the National Postdoctoral Association core competencies, with semiannual review. The Fellow will receive weekly one-on-one mentorship from the PI, structured career advising across academic, national-laboratory, and industry pathways, grant-writing experience, and visibility through the project's national partner network. The Fellow will complete UNM's Responsible Conduct of Research (RCR) training within the first six months.
Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
Qualifications
Minimum Qualifications:
  • Ph.D. (or terminal degree) in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Computer Engineering, Computational Science, Data Science, Management Information Systems, Information Science, or a closely related field, completed by the date of appointment.
  • Demonstrated research experience in machine learning, applied artificial intelligence, distributed systems, or research software engineering, as evidenced by publications, software, or other scholarly products.
  • Programming proficiency in one or more relevant languages (e.g., Python, Rust, Go, C/C++, JavaScript/TypeScript, or R)

Preferred Qualifications:
  • Experience with large language models, including model serving (e.g., vLLM), retrieval-augmented generation, agentic/multi-agent frameworks, or the Model Context Protocol (MCP).
  • Experience developing and deploying containerized, reproducible workflows (e.g., Docker, Kubernetes/Helm) on HPC or cloud infrastructure (e.g., SLURM, OpenStack, ACCESS-CI resources).
  • Experience building APIs and services (e.g., FastAPI, OpenAI-compatible inference endpoints) and integrating authentication and orchestration tooling.
    Track record of open-source software development, code review, and FAIR/open-science practice (public repositories, DOIs, reproducible pipelines).
  • Experience leading or coordinating distributed teams, mentoring students, or teaching technical workshops.
  • A demonstrated commitment to cultivate an understanding of the rich and varied cultures of New Mexico and to the success of the university's mission to serve local and global communities

Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Please submit a CV detailing relevant experience and research as well as a cover letter discussing your unique qualifications for the position.
Applicants who are appointed to a UNM faculty position are required to provide an official certification of successful completion of all degree requirements prior to their initial employment with UNM.
For Best Consideration
For best consideration, please apply by . This position will remain open until filled.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

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