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Machine Learning Engineer Jobs in Santa Fe, NM (NOW HIRING)

General Motors

Senior AI/ML Engineer

Santa Fe, NM · On-site +1

$102K - $140K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Santa Fe, NM

Machine Learning Engineer information

See Santa Fe, NM salary details

$30.9K

$126.4K

$189.9K

How much do machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer in Santa Fe, NM is $126,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $152,200.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Santa Fe, NM? The most popular types of Machine Learning Engineer jobs in Santa Fe, NM are:
What are popular job titles related to Machine Learning Engineer jobs in Santa Fe, NM? For Machine Learning Engineer jobs in Santa Fe, NM, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Santa Fe, NM look for? The top searched job categories for Machine Learning Engineer jobs in Santa Fe, NM are:
What cities near Santa Fe, NM are hiring for Machine Learning Engineer jobs? Cities near Santa Fe, NM with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Santa Fe, NM as of May 2026, with employment types broken down into 1% Internship, 54% Full Time, 43% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $126,404 per year, or $60.8 per hour.
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

Santa Fe, NM

Other

Posted 2 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry-level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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