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

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Implementation Manager

Houston, TX · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Machine Learning information

See Highlands, TX salary details

$22.3K

$37.3K

$77K

How much do remote machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote machine learning in Highlands, TX is $37,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,400.00 and $40,200.00 per year, depending on experience, location, and employer.

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.

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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

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 at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

What are the most commonly searched types of Machine Learning jobs in Highlands, TX? The most popular types of Machine Learning jobs in Highlands, TX are:
What job categories do people searching Remote Machine Learning jobs in Highlands, TX look for? The top searched job categories for Remote Machine Learning jobs in Highlands, TX are:
What cities near Highlands, TX are hiring for Remote Machine Learning jobs? Cities near Highlands, TX with the most Remote Machine Learning job openings:
GIS Developer

GIS Developer

The Jacobs Brand

Houston, TX • On-site, Remote

Other

Posted 29 days ago


Jacobs Solutions rating

8.5

Company rating: 8.5 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

5th of 78 rated construction


Job description

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!     

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration. As NASA's largest engineering solutions provider working together with NASA at centers across the United States. 

We have an exciting opportunity for a GIS Developer to join the team with HX5, a teammate company.

The Geographic Information Systems (GIS) Developer will:

  • Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support of International Space Station (ISS) and Artemis missions

  • Create, manage, and deploy data pipelines for imagery and geospatial products into web GIS, ArcGIS Enterprise, ArcPortal, and NASA internal applications

  • Develop planetary and Earth-based cartography products for NASA's human space flight missions and operations

  • Develop and manage geodatabases, versioning, data integrity, data catalogs, metadata and other related data information

  • Utilize and recommend automation techniques for dataset and imagery processing

  • Participate in science and imagery mission operations as needed

  • Develop and implement geospatial and data science QA/QC processes

  • Provide science services and technology products to a range of human exploration organizations including Artemis, Gateway, Orion, the lander/ascent systems, spacesuits, EVA, and ISS

  • Interact with scientists, engineers, and managers in a highly dynamic and occasionally time critical environment

  • Perform other duties as required

Requisition Qualifications:

This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised.

  • Typically requires a bachelor's degree or equivalent certification in a related area and a minimum of 5 years of experience in the field or in a related area.

  • Geospatial database management, ArcGIS Online, Esri Portal, open-source GIS software, web and desktop-based GIS

  • Strong GIS programming skills

  • Experience with Earth and planetary remote sensing

  • Proficient computer skills (i.e. Microsoft Office suite, Adobe products)

  • Excellent oral and written communication skills and will be expected to effectively interact with teammates, customers, and management at all levels

  • Ability to prepare written documents and presentation to verbally present at various meetings

  • Ability to develop innovative and creative work ideas and work without specific tasking

Requisition Preferences:

  • BS in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science, or relevant science fields with applicable experience

  • Masters in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science or relevant science fields with applicable experience

  • 5 years of work experience

  • Software scripting, command line skills, automation of tasks, programming language - Machine learning, deep learning, neural networks

  • Mission science integration and operations

  • Previous work with NASA and/or in the field of planetary geology 

Why Join Our Team?

In addition to exciting career opportunities, we also have:

  • Excellent personal and professional career growth
  • 9/80 work schedule (every other Friday off), when applicable
  • Onsite cafeteria (breakfast & lunch)
  • Much, much more!

For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com

  • Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position.
  • Must be able to complete a U.S. government background investigation.
  • Management has the prerogative to select at any level for which the position is advertised.

Essential Functions

Work Environment

Generally, an office environment, but can involve inside or outside work depending on task.

Physical Requirements

Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time).

Equipment and Machines

Standard office equipment (PC, telephone, printer, etc.).

Attendance

Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements.

Other Essential Functions

Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.

#JETS #JETSII


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