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Senior Machine Learning Engineer Jobs in Las Cruces, NM

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly ...

The Spacecraft Engineer will join a team of engineers dedicated to maintaining the health and ... Experience using Artificial Intelligence (AI) or Machine Learning (ML) tools for data analysis.

The Spacecraft Engineer will join a team of engineers dedicated to maintaining the health and ... Experience using Artificial Intelligence (AI) or Machine Learning (ML) tools for data analysis.

Data Science Tutor

El Paso, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

The Spacecraft Engineer will join a team of engineers dedicated to maintaining the health and ... Experience using Artificial Intelligence (AI) or Machine Learning (ML) tools for data analysis.

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Software Engineer II

El Paso, TX

$88K - $120K/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 ...

Software Engineer II

El Paso, TX

$88K - $120K/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 ...

Python Tutor

El Paso, TX · 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 ...

Showing results 21-40

Senior Machine Learning Engineer information

See Las Cruces, NM salary details

$58.9K

$125.2K

$181.5K

How much do senior machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior machine learning engineer in Las Cruces, NM is $125,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Las Cruces, NM look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Las Cruces, NM are:

Infographic showing various Senior Machine Learning Engineer job openings in Las Cruces, NM as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,196 per year, or $60.2 per hour.

Sensor Engineer IV with Security Clearance

Arcfield

Las Cruces, NM • On-site

Other

Re-posted 2 days ago


Job description

Responsibilities We are looking for a SENSOR SYSTEMS ENGINEER to join a skilled, highly respected, and long-standing team supporting New Capabilities Integration efforts for emerging systems. The successful candidate will support product evaluations, quality studies, new product initializations, and/or product algorithm assessments. The candidate should have a working understanding and practical application of modeling components of the image path, including sensor, detector, atmospheric, and material properties. Familiarity with current systems and products will be necessary to develop, assess, and execute test and verification methodologies. Activities include, but are not limited to: * Sensor modeling; decomposing product formation elements to quantify the overall quality of the image chain.
* Algorithm assessment to quantify the performance of a product given desire mission application.
* Performing baseline assessment of system performance to support sensor initialization.
* Operational monitoring of system performance over time.
* Responding to detected errors and artifacts by recommending possible causes and corrective actions.
Qualifications Required: * Must possess and be able to maintain a TS/SCI clearance with polygraph
* 8 to 10 years of experience with a BS, 6 to 8 years with a MS, or 3 to 5 years with a PhD
* A degree in Imaging Science or Engineering
* Experienced in Image Science (Phenomenology, Sensor technology, Image Processing)
* Understanding of Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data.
* Understanding and application of image quality standards, scales, metrics, and image quality equations.
* Applied knowledge of sensor imaging systems, products, and exploitation processes
* Understanding of the systems engineering lifecycle, including independent testing and data verification
* Strong written and oral communication skills
* Ability to work independently as well as part of a team
* Willingness to learn, solve problems, and perform in a dynamic work environment
Desired: * Degree in Image Science, Field of Engineering, or Physics
* Understanding of the enterprise TCPED process
* A basic understanding of RF analysis and potential antenna modeling
* Experience working in a DoD or IC operational environment
* Experience working on Product Initialization teams
* Understanding of Machine Learning and Neural Network algorithms
* Experience developing engineering code (e.g. C, Python, Matlab, IDL) to solve hard problems and create processes for repeatable results.
EEO Statement We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.