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Remote Full Stack Machine Learning Engineer Jobs in Orange, TX

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Remote Full Stack Machine Learning Engineer information

See Orange, TX salary details

$42.2K

$127.7K

$180.5K

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

As of Jul 12, 2026, the average yearly pay for remote full stack machine learning engineer in Orange, TX is $127,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $149,700.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What cities near Orange, TX are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Orange, TX with the most Remote Full Stack Machine Learning Engineer job openings:
Adjunct Instructor - General Education

Adjunct Instructor - General Education

Lamar Institute of Technology

Beaumont, TX • On-site, Remote

Part-time

Re-posted 5 days ago


Job description

Salary: Depends on Qualifications
Location : Main Campus
Job Type: Adjunct
Remote Employment: Flexible/Hybrid
Job Number: 202500004
Department: General Education
Opening Date: 10/10/2025
FLSA: Exempt
  • Lamar Institute of Technology is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including and as it pertains to pregnancy and wages), national origin, disability, age, genetic information, protected veteran status, and/or retaliation.
  • LIT's is provided in compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (20 USC § 1092(f), 34 CFR
    668.46). This report contains information regarding campus safety and security including topics such as: campus law enforcement authority; crime reporting policies; campus alerts
    (Timely Warnings and Emergency Notifications); programs to prevent dating violence, domestic violence, sexual assault and stalking; the procedures the Institute will follow when one of these crimes is reported; and other matters of importance related to security on campus. The report also contains information about crime statistics for the three most recent
    calendar years concerning reported crimes that occurred on campus; in non-campus buildings or property owned or controlled by the Institute or a recognized student
    organization; and on public property within, or immediately adjacent to and accessible from, the campus. If you would like to receive a paper copy of the Annual Security Report, you can
    stop by Lamar Institute of Technology, Eagles' Nest building at 855 East Lavaca, Beaumont, TX, 77705, or you can request that a copy be mailed to you by calling 409-247-4838 or emailing titleix@lit.edu.
  • If you have questions, please email the Human Resources department at hr@lit.edu or call 409-981-6824.
Job Summary
The Adjunct Instructor's responsibilities include, but are not limited to, providing instruction for students enrolled in courses within the General Education department at Lamar Institute of Technology, including dual credit high school students. Courses and programs within the GEDS department include:
  • Childcare and Development
  • College Success Skills (DORI)
  • English
  • Government/Political Science
  • History
  • Humanities
  • Math
  • Philosophy
  • Psychology
  • Sociology
  • Speech and Communications

Adjunct Instructors must be qualified and competent to teach applicable courses within the degree and certificate programs - requirements vary. Hours vary depending on the need and course schedule and may include day, evening, and/or weekend classes, including online. Flexible scheduling and online work arrangements are available (depending upon course type and configuration). This is an exempt position.
Duties/Responsibilities
  • Teach courses as scheduled and actively engage students in the learning process
  • Demonstrate commitment to teaching and supporting diverse student populations, including traditional, non-traditional, and dual credit students.
  • Maintain ethical and professional behavior
  • Attend adjunct faculty meetings
  • Assess courses on departmental and institutional levels
  • Complete required training, such as Blackboard Online Instructor Certification and Title IX Training, etc.
  • Utilize LIT's Teaching and Learning Center (TLC) and Sam Houston State University (SHSU) Faculty Online Development Training to continually hone and improve professional knowledge and teaching skills
  • Maintain knowledge of and adherence to the policies and procedures contained in the TSUS and LIT Policies and Procedures Manual
  • Other related duties as assigned

Minimum/Preferred Qualifications
Minimum Qualifications:
  • Master's degree with at least 18 credit hours of related coursework in the applicable subject is required for transferrable courses. An associate degree may be accepted for the Childcare and Development program. A bachelor's degree with teaching experience is required for DORI classes.
  • Work experience in the specifically-targeted program or related field
  • Working knowledge of Microsoft Office applications
  • Knowledge of teaching methodologies/pedagogical strategies
  • Possess good verbal and written communication skills
  • Possess good time management skills

Preferred Qualifications:
  • Master's degree in related coursework
  • Experience teaching in higher education
  • Related field and/or industry certifications

Supplemental Information
Physical Requirements:
This position requires the ability to: remain in a stationary position for most of the time; occasionally move about inside an office to access documents, office equipment, etc.; constantly operate a computer or other office equipment, such as a printer or copy machine.
  • Lamar Institute of Technology is an E-Verify Employer.
  • This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215, which authorizes the employer to obtain criminal history record
    information. Click for the Security Sensitive Release Form.

This position is not eligible for benefits.
01
What is the highest level of education you have achieved?
  • High school diploma or the equivalent (GED)
  • Associate degree
  • Bachelor's degree
  • Master's degree
  • Professional degree such as Law or Medicine
  • Doctorate degree or Ph.D.

02
In what subject(s) did you receive your degree(s)?
03
How many years of teaching experience do you have?
  • No experience
  • 0-2 years
  • 2-4 years
  • 5 or more years

04
In what subject or academic area are you applying for and qualified to be an instructor?
  • Childcare and Development
  • College Success Skills (DORI)
  • English
  • Government/Political Science
  • History
  • Humanities
  • Math
  • Philosophy
  • Psychology
  • Sociology
  • Speech/Communications

Required Question