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Machine Learning Engineer Jobs in Lubbock, TX (NOW HIRING)

Varsity Tutors

Statics and Dynamics Tutor

Lubbock, TX · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics Tutor

Lubbock, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Carter Machinery

COMMISSIONING MANAGER

Lubbock, TX · On-site +1

$85K - $110K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Carter Machinery

COMMISSIONING MANAGER

Lubbock, TX

$85K - $110K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

SB Energy

Controls/Security/Network/Compute Lead

Lubbock, TX · On-site

$88K - $116K/yr

Cultivate Team Learning and Growth Benefits of Working with SB Energy SB Energy is committed to ... Civil Engineering Intern Engineering & Innovation Redwood City, CA; San Diego, CA; or Denver, CO ...

TERRACON

Staff Engineer

Lubbock, TX · On-site

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

TERRACON

Staff Engineer

Lubbock, TX

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

TERRACON

Senior Staff Engineer

Lubbock, TX · On-site

$79K - $109K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

TERRACON

Senior Staff Engineer

Lubbock, TX · On-site

$89K - $123K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

Eaton

Field Service Representative

Lubbock, TX · On-site

$63K - $93K/yr

... ongoing learning • Leads program with bonus pay • Opportunities across 32 service branches ... engineering assignments that may involve equipment or product design, testing of materials, process ...

CEV MULTIMEDIA LTD

Senior SDE

Lubbock, TX · On-site

$105K - $138K/yr

As a Senior Software Development Engineer, you will lead the design and development of critical systems, influence technical strategy, and drive engineering excellence across the team. Duties ...

New

CEV MULTIMEDIA LTD

SDE I

Lubbock, TX · On-site

As a Software Development Engineer I, you will be responsible for designing, developing, testing, and maintaining software applications. You will work closely with senior engineers and cross ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lubbock, TX

Machine Learning Engineer information

See Lubbock, TX salary details

$27.1K

$110.6K

$166.2K

How much do machine learning engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning engineer 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
What are popular job titles related to Machine Learning Engineer jobs in Lubbock, TX? For Machine Learning Engineer jobs in Lubbock, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Lubbock, TX look for? The top searched job categories for Machine Learning Engineer jobs in Lubbock, TX are:
What cities near Lubbock, TX are hiring for Machine Learning Engineer jobs? Cities near Lubbock, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lubbock, TX as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $110,579 per year, or $53.2 per hour.
Statics and Dynamics Tutor

Statics and Dynamics Tutor

Varsity Tutors

Lubbock, TX • Remote

$18 - $40/hr

Part-time

Posted 2 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statics and Dynamics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statics and Dynamics Tutor
  • Advanced Subject Mastery: Deep knowledge of static equilibrium, force analysis, trusses and frames, kinematics of particles and rigid bodies, Newton second law applications, work and energy methods, impulse and momentum, and vibrations. Ability to explain free body diagrams, kinematic equations, energy conservation, and angular momentum while preparing students for mechanics of materials, machine dynamics, and advanced engineering coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down equilibrium problems, kinematic analysis, and energy method applications. Guides students through constructing free body diagrams, solving static truss problems, analyzing projectile and circular motion, applying work-energy theorems, and computing impulse-momentum relationships. Emphasizes connecting mathematical solutions to physical intuition and applies engineering mechanics to vehicle dynamics, structural stability, and mechanism design.
  • Curriculum Awareness & Adaptive Instruction: Familiar with combined statics and dynamics curricula and common challenges such as transitioning from static to dynamic analysis, applying energy methods correctly, and solving rigid body kinematics. Adapts instruction using visual motion diagrams, worked examples, and engineering application problems to support undergraduate engineering students building comprehensive mechanics foundations for structural and machine design coursework.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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