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Remote Embedded Machine Learning Jobs in Santa Fe, TX

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

GIS Developer

Houston, TX ยท On-site +1

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

Senior Counsel - EPC Transformation

Houston, TX ยท On-site +1

$133K - $181K/yr

Support our EPC transformation by serving as the embedded legal advisor on autonomous robotics ... Strong understanding of machine learning and artificial intelligence. Ability to translate highly ...

Account Director

Houston, TX ยท On-site +1

$300K - $320K/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 employees * 401(k) ...

Account Director

Houston, TX ยท Remote

$300K - $320K/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 employees * 401(k) ...

Account Director

Houston, TX ยท On-site +1

$300K - $320K/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 employees * 401(k) ...

... be embedded with global teams, helping build and maintain scalable data solutions while learning ... Flexible, remote work environment. * Placement with international clients upon certification.

Remote, USA - Ideally Texas due to client locations About Quvia: Quvia is building the digital fabric between edge and cloud. Our platform uses AI and machine learning to orchestrate connectivity ...

Remote, USA - Ideally Texas due to client locations About Quvia: Quvia is building the digital fabric between edge and cloud. Our platform uses AI and machine learning to orchestrate connectivity ...

Senior Product Manager

Houston, TX ยท Remote

$109K - $137K/yr

This is a remote-based role within select states in the United States. At this time, we are only ... Identifies and prioritizes opportunities to apply AI and machine learning -- such as dynamic ...

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Showing results 1-20

Remote Embedded Machine Learning information

See Santa Fe, TX salary details

$63.3K

$138.6K

$157.2K

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

As of Jul 15, 2026, the average yearly pay for remote embedded machine learning in Santa Fe, TX is $138,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $156,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Santa Fe, TX? For Remote Embedded Machine Learning jobs in Santa Fe, TX, the most frequently searched job titles are:
What cities near Santa Fe, TX are hiring for Remote Embedded Machine Learning jobs? Cities near Santa Fe, TX with the most Remote Embedded Machine Learning job openings:

Data Analyst

Insolation Technology Ltd

Houston, TX โ€ข On-site, Remote

$21 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD,
an established engineering consulting firm. The Data Analyst will be
responsible for collecting, processing, and analyzing data to support
project decisions, improve operational efficiency, and provide insights
that drive strategic planning. The ideal candidate will have a strong
analytical background, proficiency in data analysis tools, and excellent
communication skills.

Note: This position is strictly open to candidates within the United States.

Key Responsibilities:

  • Data Collection and Management: Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy.
  • Data Analysis:
    Analyze large datasets to identify trends, patterns, and insights that
    support project management, operational efficiency, and strategic
    initiatives.
  • Reporting and Visualization:
    Create comprehensive reports and dashboards using data visualization
    tools (e.g., Tableau, Power BI) to present findings to stakeholders.
  • Collaboration:
    Work closely with engineering teams, project managers, and other
    departments to understand their data needs and provide actionable
    insights.
  • Performance Metrics: Develop and track key performance indicators (KPIs) to measure project performance and operational efficiency.
  • Statistical Modeling: Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends.
  • Continuous Improvement:
    Identify opportunities for process improvements and optimization based
    on data analysis and provide recommendations to management.
  • Documentation: Maintain detailed documentation of data sources, methodologies, and analytical processes for future reference.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.
  • Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent
    communication skills, both verbal and written, with the ability to
    present complex information clearly to non-technical stakeholders.
  • Familiarity with engineering concepts or terminology is a plus.

Preferred Qualifications:

  • Experience with statistical analysis and modeling techniques.
  • Knowledge of machine learning algorithms and data mining techniques.
  • Familiarity with project management methodologies and tools.
  • Experience working in a team-oriented, collaborative environment.

Benefits:

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedule and remote work options

Job Type:

  • Full time

Pay:

  • $21.00 - $26.00 per hour

Expected hours:

  • 40 hours per week

Benefits:

  • 401(k)
  • Dental insurance
  • Health Insurance
  • Life Insurance
  • Paid time off

Schedule:

  • Monday to Friday

Work location:

  • Remote

Insolation Technology LTD is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive
environment for all employees.