1

Internship Full Stack Machine Learning Engineer Jobs in Katy, TX

Full Stack Engineer

Houston, TX ยท On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for ...

Full Stack Engineer

Houston, TX ยท On-site

$100K - $130K/yr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for ...

These Full Stack Developer openings are 12 month contracts. These positions are not open for ... Software Engineer, Software Developer, Programming, Programmer Analyst, Texas Recruiters ...

The Full Stack Software Engineer is responsible for developing web applications using third-party and in-house frameworks. The Full Stack Software Engineer uses shared components and develop back-end ...

As a Full Stack Developer, you will be responsible for developing and maintaining our company's web and mobile applications. This is a full-time, permanent position with the opportunity for growth ...

Lead Machine Learning Engineer

Houston, TX ยท Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP ...

NET Developer - Angular, (AI/Platform-leaning) Location- Houston, TX Contract W2 Requirements: * Strong Full Stack Engineering experience * Backend development in C#, .NET, or similar (less concerned ...

Gym membership, cell phone reimbursement, $100/month meal allowance Role Overview We are seeking a seasoned Full Stack Developer to support a mature enterprise application environment. This role ...

Showing results 41-60

Internship Full Stack Machine Learning Engineer information

See Katy, TX salary details

$40.8K

$123.7K

$174.8K

How much do internship full stack machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for internship full stack machine learning engineer in Katy, TX is $123,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $145,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an internship full stack machine learning engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What do internship full stack machine learning engineers do?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Katy, TX? The most popular types of Full Stack Machine Learning Engineer jobs in Katy, TX are:
What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Katy, TX? For Internship Full Stack Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Katy, TX look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Katy, TX are:
What cities near Katy, TX are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities near Katy, TX with the most Internship Full Stack Machine Learning Engineer job openings:
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Katy, TX as of June 2026, with employment types broken down into 28% Full Time, 65% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $123,650 per year, or $59.4 per hour.

Full Stack Engineer

Whitewater Express Car Wash

Houston, TX โ€ข On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Full Stack Engineer

Note: Position is not eligible for visa sponsorship.
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business.
Location: 106 Vintage Park Blvd. Houston, TX 77070

Position Overview
We are seeking an innovative and detail-oriented Full Stack Engineer to lead the design, development, and deployment of internal web applications, reporting tools, and middleware services. Reporting to the Senior Director of Data Engineering, you'll own our internal portal, middleware, and reporting platform—building the tools that turn car wash operations and CRM data into intuitive, actionable applications that drive day-to-day and strategic decisions across the company.
This is a full-stack Node.js role with meaningful ownership of the front-end data stack, middleware, and APIs. You'll work alongside our Data Engineer, who partners with you on the cloud infrastructure—you bring strong application and integration skills, and the two of you cover the AWS environment together. A key component of this role is leveraging AI tools—such as Claude.ai and other generative AI platforms—to accelerate development and deliver production-ready solutions.
What You'll Build
Our POS middleware, internal portal and new reporting features power operational and business decision-making across a fast-growing, multi-site car wash company. You'll design intuitive interfaces, maintain the middleware and APIs that connect our internal systems and CRM data, and partner with the Data Engineering team to deliver a reliable, well-structured front-end data stack.
Key Responsibilities

  • Design, build, and maintain a scalable internal portal (Next.js) and new reporting features using Node.js and Fastify.
  • Build type-safe APIs and middleware using Fastify with Zod for schema validation.
  • Develop responsive, data-rich front-end interfaces using React and Next.js.
  • Use AI tools (e.g., Claude.ai, MCP) to accelerate development of web applications, middleware, and back-end features.
  • Critically review, test, and validate all AI-generated code and output to ensure it is secure, performant, and production-ready—treating AI as an accelerator, not a substitute for engineering judgment.
  • Apply strong UI/UX practices to create intuitive, clear, and actionable interfaces.
  • Develop and maintain middleware and APIs, integrating internal systems and CRM data sources.
  • Build and operate cloud-based application services on AWS, including containerized deployments on Fargate, partnering with the Data Engineer on infrastructure as needed.
  • Handle CRM and operational data responsibly, following least-privilege and secure-by-default practices (e.g., Secrets Manager for credentials, scoped access to data).
  • Collaborate closely with the Data Engineer to define and own the front-end data stack.
  • Collaborate with business leaders and the Data Engineering team to gather requirements and deliver solutions.
  • Document applications and provide training and support to business users.
  • Use Python as needed for scripting, data processing, or integration tasks alongside the Data Engineering team.
  • Maintain and extend existing PHP-based systems and integrations as needed.

Required Qualifications

  • 5+ years of full-stack software development experience.
  • Advanced Node.js skills, including building and maintaining production web applications and APIs.
  • Strong skills in HTML, CSS, and JavaScript for web application and data-input interfaces.
  • Strong SQL and data modeling knowledge (PostgreSQL; facts, dimensions, star schema).
  • Working knowledge of AWS application services and a willingness to grow into our environment (you won't need to own every service).
  • Experience using AI tools in a development workflow, including the ability to validate, test, and refine AI-generated code rather than accepting output at face value.
  • Experience with Git/GitHub version control.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's degree in Computer Science or related field, or equivalent practical experience.
  • Proof of U.S. citizenship is required; this position is not eligible for visa sponsorship.

Preferred Qualifications

  • Experience with any of the following is a plus, but not required—you'll work with our Data Engineer across the broader environment:
  • Hands-on AWS experience across some of: ECS/Fargate, ECR, Lambda, Application Auto Scaling; RDS (PostgreSQL), S3; SNS, SQS, EventBridge; Elastic Load Balancing, API Gateway, CloudFront; EC2 networking (VPC, subnets, security groups, route tables, gateways); Secrets Manager; CloudWatch.
  • Experience deploying and managing infrastructure with CloudFormation.
  • AWS certifications are a plus such as AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate.
  • Experience with CI/CD pipelines and deployment automation.
  • Experience designing middleware and event-driven architectures.
  • Working knowledge of Python and/or PHP is a plus.
     

Benefits 

  • Comprehensive Health Benefits (Medical, Dental & Vision)
  • Paid Time Off in addition to Company Paid Holidays
  • 401(k) Retirement Plan with Company Match
  • Company-Paid Life Insurance
  • Pathways to Advancement
  • Free Weekly Car Washes

Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team!
#INDCorp

Powered by JazzHR

tUl4kNhtlb