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Artificial Intelligence Machine Learning Engineer Jobs in Jal, NM

Kodiak

Senior Field Truck Technician

Kermit, TX

$18.75 - $25.75/hr

The company has developed an artificial intelligence (AI) powered technology stack purpose-built ... Work closely with design and validation engineers to aid in the development of hardware systems

Kodiak

Senior Field Truck Technician

Kermit, TX · On-site

$18.75 - $25.75/hr

The company has developed an artificial intelligence (AI) powered technology stack purpose-built ... Work closely with design and validation engineers to aid in the development of hardware systems

Kodiak

Operations Technician Lead

Jal, NM · On-site

$45K - $59K/yr

The company has developed an artificial intelligence (AI) powered technology stack purpose-built ... Work closely with design and validation engineers to aid in the development of hardware systems

Kodiak

Operations Technician Lead

Kermit, TX · On-site

$41K - $54K/yr

The company has developed an artificial intelligence (AI) powered technology stack purpose-built ... Work closely with design and validation engineers to aid in the development of hardware systems

Kodiak

Operations Technician Lead

Kermit, TX · On-site

$41K - $54K/yr

The company has developed an artificial intelligence (AI) powered technology stack purpose-built ... Work closely with design and validation engineers to aid in the development of hardware systems

Energy Transfer

Equipment Technician

Kermit, TX · On-site

This position works closely with operations, engineers, specialists, and maintenance personnel in ... critical machinery performance metrics (flow rates, equipment rotating speed, temperatures, and ...

Energy transfer

Equipment Technician

Kermit, TX · On-site

This position works closely with operations, engineers, specialists, and maintenance personnel in ... critical machinery performance metrics (flow rates, equipment rotating speed, temperatures, and ...

US Navy

Aviation Operations & Support

Kermit, TX

... intellectual growth. Enlist as an Aviation Boatswain's Mate candidate to enter the aviation ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Jal, NM

Artificial Intelligence Machine Learning Engineer information

See Jal, NM salary details

$32.7K

$133.5K

$200.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for artificial intelligence machine learning engineer in Jal, NM is $133,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $160,700.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Jal, NM?

For Artificial Intelligence Machine Learning Engineer jobs in Jal, NM, the most frequently searched job titles are:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Jal, NM as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,525 per year, or $64.2 per hour.

Senior Field Truck Technician

Kodiak

Kermit, TX

$18.75 - $25.75/hr

Full-time

Re-posted 29 days ago

Job description

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for Field Technicians to join us in maintaining and repairing our vehicles out in the Permian Basin in West Texas.

What we offer:
  • Our Senior Field Truck Technicians in Kermit, TX start anywhere from 39/hr - in addition we offer $1500 annual bonus, OT, and RSU's!
  • Housing provided with Free hot meals
  • Competitive benefits, including medical, dental & vision.
  • 14/7 ROTATION
  • & More!


In this role, you will:

  • Be responsible for maintenance and modifications to autonomous vehicle platforms, including trucks, trailers, and autonomous systems
  • Safely operate company vehicles as an essential function of the position
  • Maintain a clean driving record that meets requirements for coverage under the company's auto insurance policy.
  • Repair modular and sub-systems and related harnesses on the bench and in-vehicle
  • Inspect and certify the operational health of trucks, trailers, and Autonomous Vehicle platforms
  • Work closely with design and validation engineers to aid in the development of hardware systems
  • Execute work according to scheduled preventative maintenance and demand of related upkeep programs
  • Support material staging and workflow readiness for remote tasks and field based teams
  • Provide technical coverage when needed in other locations
  • Maintain a safe and clean work environment
  • Coordinate the replenishment and distribution of consumed items used in maintaining vehicle operations.

What you'll bring:

  • Valid driver's license with a clean driving record
  • Ability to read, inspect and implement directions, as outlined and depicted in Electrical Harness Diagrams and Mechanical Prints
  • Experience with industry based tooling including specialized electrical and mechanical tooling such as: wire crimpers, multimeters, oscilloscopes, torque wrenches, fabrication tooling and hand tools.
  • Proficient with diagnostic instrumentation related to trucks and the ability to perform failure analysis on related components
  • Solid hands-on background. The ability to rely on previous experience or training to inspect and identify defects and failures on complex systems. These range from visual to operational in nature and can generate aptitude in learning Autonomous Vehicle diagnostics and repair
  • Reliability and consistency. You have a track record of meticulous work. You are comfortable developing and practicing methodical service through the use of checklists, protocols, and work documentation
  • Clear communication. You are comfortable providing feedback to engineers, and sharing insights with the team at large to improve products and processes. You know how to collaborate, and when to get secondary inspection and review for safety-critical decisions
  • Innovative mindset. You like to find ways to improve the system you are working on. You can solve problems and complete tasks even when the path to the solution is not clear at the outset
  • Flexibility for working hours and days. Daytime/night/weekend shifts are being hired for. Periodic travel back to main locations for short term cross training and support.
  • Experience in the energy sector is a bonus
At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.
In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.
We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with "Separate Review Request" in the email subject line.