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Machine Learning Engineer Opt Jobs in Lubbock, TX

... learning Leads program with bonus pay Opportunities across 32 service branches Eaton-Wide Benefits ... Machinery, Protection & Control Design Generate timely and accurate service reports on work ...

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Machine Learning Engineer Opt information

See Lubbock, TX salary details

$27.1K

$110.6K

$166.2K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer opt in Lubbock, TX is $110,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $133,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Lubbock, TX?

For Machine Learning Engineer Opt jobs in Lubbock, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in Lubbock, TX look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Lubbock, TX are:

What cities near Lubbock, TX are hiring for Machine Learning Engineer Opt jobs?

Cities near Lubbock, TX with the most Machine Learning Engineer Opt job openings:

Field Service Representative

Eaton

Lubbock, TX • On-site

$63K - $93K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Eaton rating

7.8

Company rating: 7.8 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

169th of 545 rated manufacturers


Job description

Eaton's ES AMER ESS division is currently seeking a Field Service Representative in Lubbock, TX. The expected annual salary range for this role is $63,749 - $93,499 a year. Please note the salary information shown above is a general guideline only.

Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. Team Benefits: Guaranteed 40-hour base pay, eligible for overtime and travel premiums Career growth, mentorship and safety training Company vehicle, toolkit, and phone Tuition assistance for ongoing learning Leads program with bonus pay Opportunities across 32 service branches Eaton-Wide Benefits We provide benefits that are industry competitive and focused on employee well-being. Listed below are programs that are offered globally, but program availabilities may vary by site.

Health, Dental, Vision & Wellness programs Retirement savings programs Competitive compensation packages to reward skills and performance Charitable donation matching (U.S., Canada, Puerto Rico) What you'll do: Work on assigned projects for electrical equipment Deliver technical solutions to customers Perform less conventional complex engineering assignments that may involve equipment or product design, testing of materials, process studies, or research investigations Display proficiency in the following: Test Equipment Operation, Troubleshooting Techniques, Protective Relays, Power Quality Measurements, Disaster Recovery, Rotating Machinery, Protection & Control Design Generate timely and accurate service reports on work, product performance, and warranties. Qualifications: Basic Qualifications High School Diploma or GED equivalent or higher with minimum 2 years of electrical or mechanical industry experience Must be able to work in the US without corporate sponsorship No relocation offered, candidates must reside within the posted area in order to be considered. Active-Duty Military Service member candidates are exempt from the geographical area limitation Must have a valid and unrestricted driver's license and must be able to pass a Motor Vehicle Record (MVR) check Must be eligible to drive an Eaton fleet vehicle Preferred Qualifications Bachelor's degree in Engineering from an accredited institution Minimum of 1 year of field service evaluating and servicing electrical distribution or control systems Electrical or General Contractor's License Professional Engineering License Experience in testing, troubleshooting, evaluating, and servicing electrical distribution and control systems Experience performing power quality measurements, troubleshooting, analysisas well as protective relays NICET/NETA certification Skills: Position Success Criteria: Successfully complete and maintain compliance with Eaton's safety program and policy Submit to periodic customer required background and drug screenings Must have the ability to work variable hours, including nights & weekends, and travel within the district/state/region/country based on customer requirements Understands 3-phase power systems and low, medium, and high voltage power distribution equipment Practices electrical safety measures Performs physically demanding tasks, requirement to stand, walk, stoop, squat, kneel, and reach above, to, and below shoulder level, lift, carry, push, pull, and use hands to handle and feel

Frequently required to climb and regularly required to lift/carry/push/pull up to 50 pounds; occasionally required to push/pull greater than 50 pounds with assistance. May be required to drive extended distances, work in extreme weather and temperature conditions, work at sites with areas that have poor lighting, ventilation, and dust and/or be exposed to high noise levels. Ability to obtain and maintain a valid TWIC card Proficient with hand and power tools for equipment assembly Strong computer skills Strong problem-solving and logical thinking skills Works well under time constraints and in stressful situations Explain technical problems and solutions Collaborates effectively with the team to meet project deadlines We are committed to ensuring equal employment opportunities for all job applicants and employees.

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need.

Only accommodation requests will be accepted by this phone number. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work.

Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.


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About Eaton

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US