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Remote Machine Learning Jobs in McAllen, TX (NOW HIRING)

Citamed

Software Engineer

San Juan, TX · On-site +1

Want to learn about everything... and keep learning... always! * Are proactive and dynamic, with ... Availability to work in San Juan and with remote working options Applicant should also answer the ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in McAllen, TX

Remote Machine Learning information

See McAllen, TX salary details

$24.2K

$40.5K

$83.6K

How much do remote machine learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote machine learning in McAllen, TX is $40,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in McAllen, TX? The most popular types of Machine Learning jobs in McAllen, TX are:
What are popular job titles related to Remote Machine Learning jobs in McAllen, TX? For Remote Machine Learning jobs in McAllen, TX, the most frequently searched job titles are:
What cities near McAllen, TX are hiring for Remote Machine Learning jobs? Cities near McAllen, TX with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in McAllen, TX as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $40,455 per year, or $19.4 per hour.

Software Engineer

Citamed

San Juan, TX • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

We are looking for Software Engineers that want to help Citamed get to the next level. If working within a Tech Startup, with other professionals that will push you to the limit is what you are searching for... then this is for you!
At Citamed, we strive for excellency at all levels of our business and operations. We pride ourselves for the attention to detail and the quality of our work. Therefore, we are looking for people that:
  • Want to learn about everything... and keep learning... always!
  • Are proactive and dynamic, with good attitudes and like having fun with coding and technology.
  • Extremely passionate about technology, software, and quality.
  • Ability to research, investigate, and study profoundly new technologies and best practices.
  • Be able to manage priorities, constant changes, and new requirements while maintaining a high level of quality and attention to details, due dates, and deliverables.
  • Be organized and able to work under pressure when necessary.

We also have some requirements for the opening:
  • Should have at least 2-3 years of experience in software and applications architecture and development.
  • Fully bilingual (verbal and written).
  • Knowledge of two or more of the following programming languages/frameworks/infrastructure: Visual Basic, C#, MS-SQL, Javascript, Groovy (Java), ReactJS, Amazon Web Services.
  • Availability to work in San Juan and with remote working options
Applicant should also answer the following questions related to the next code snippet.
01> var printers = [];
02> for(var i=0; i<3; i++) {
03> printers[i] = function(){
04> myCoolPrinter(i);
05> };
06> }
07> for(i=0; i<3; i++) {
08> printers[i]();
09> }
10> for(var j=0; j<3; j++) {
11> printers[j]();
12> }
13> function myCoolPrinter(v1){
14> // this function will print "v1"
15> }
DO NOT USE A COMPUTER TO RUN THE CODE ABOVE - we will know :). THE FOLLOWING QUESTIONS SHOULD BE ANSWERED BY MIND.
  1. Briefly describe lines 1-6.
  2. Briefly describe lines 10-12.
  3. Suppose that the function myCoolPrinter will output parameter v1 to the console. What will be the output?

PLEASE USE A COMPUTER TO RUN THE PREVIOUS CODE SNIPPET TO ANSWER THE FOLLOWING QUESTIONS.
  1. Refactor function myCoolPrinter so that it outputs to the console (eg: use console.log). What is the output?
  2. Is the output different to the one in question #3, why?

Apply