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Machine Learning Remote Internship Jobs in Houston, TX

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

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All JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Houston, TX

Machine Learning Remote Internship information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do machine learning remote internship jobs pay per year?

As of Jun 23, 2026, the average yearly pay for machine learning remote internship in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Houston, TX? For Machine Learning Remote Internship jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Houston, TX look for? The top searched job categories for Machine Learning Remote Internship jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Remote Internship jobs? Cities near Houston, TX with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Houston, TX as of June 2026, with employment types broken down into 44% Full Time, 29% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Founding Full Stack Developer (Remote)

Recruitzsy

Humble, TX • Remote

Full-time

Posted 13 days ago

Job description

Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. As a public-benefit corporation, they are backed by world-class investors such as Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford's TomKat Center for Sustainable Energy. Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team.


Qualifications:

The successful candidate will have a track record of shipping and going through the full product development cycle, setting up the technology stack and development infrastructure, and developing infrastructure/pipelines to support Machine Learning/Remote Sensing workflows. While experience in climate/agriculture is a plus, a passion for climate is a must! Multidisciplinary teamwork, as well as understanding how to support Machine Learning and Remote Sensing workflows, is also highly valued. If you care deeply about climate change and feel a strong moral responsibility to act now, apply today!


Requirements:


  • 5-10 years of relevant professional experience after college
  • Experience shipping and building products from 0 to 1
  • Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams
  • Experience as an early employee at top-tier startups and open-source work
  • Passion for climate change and strong moral responsibility to act
  • Multidisciplinary team work experience, preferably in software and healthcare
  • Understanding of how to support machine learning and remote sensing workflows


Qualifications:

  • 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
  • A track record of shipping and going through the full product development cycle right from writing the first line of code to product in the hands of users and iterating quickly on feedback
  • Experience with setting up the technology stack and development infrastructure from Day 1 and scaling it with growth
  • Ability to develop infrastructure/pipelines to support Machine Learning / Remote Sensing workflows
  • Proactive and collaborative self-starter with a strong ability to attract other top technical talent and lead them effectively
  • Past experience working in climate/agriculture is not a requirement, but a passion for climate is a plus!
  • Past multidisciplinary teamwork (i.e. e.g. working on software in healthcare) is a huge plus, as you will be working with an interdisciplinary team with expertise in AI, Remote Sensing, Carbon Markets, Soil Carbon Modeling, Sustainable Finance
  • Machine Learning and Remote Sensing experience is not required, but understanding how to support these workflows (e.g. setting up data pipelines, setting up infrastructure to parallelize model runs, automating the deployment of models to integrate with the core MRV product) is a huge bonus!
  • You care deeply about climate change and feel a strong moral responsibility to act now. This extends into all facets of your life: both personal and professional. No action is too small and no goal is too big. Whether you have turned vegan or swear by public transport, we are big believers in embracing sustainability as a mindset and would love to learn what this means for you!
Employment Type: FULL_TIME

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