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Remote Embedded Machine Learning Jobs in Santa Fe, TX

Solutions Engineer

Houston, TX ยท 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) ...

Solutions Engineer

Houston, TX ยท 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) ...

Implementation Manager

Houston, TX ยท 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 ...

QA Engineer - AI Trainer

League City, TX ยท Remote

$50 - $100/hr

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 ...

SDLC Engineer - AI Trainer

Pasadena, TX ยท Remote

$50 - $100/hr

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 ...

QA Engineer - AI Trainer

Houston, TX ยท Remote

$50 - $100/hr

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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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 Jun 23, 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 job categories do people searching Remote Embedded Machine Learning jobs in Santa Fe, TX look for? The top searched job categories for Remote Embedded Machine Learning jobs in Santa Fe, TX 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:
Solutions Engineer

Solutions Engineer

NobleAI

Houston, TX โ€ข Remote

$200K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate discovery, improve product and asset performance, and drive measurable commercial results across energy, chemistry, and manufacturing.

NobleAI turns sparse, multi-source industrial data into predictive models and decision-grade insights. By combining physics and chemistry expertise with advanced machine learning, our platform improves resource recovery, asset performance, and product quality. We serve companies that rely on precise formulations and material composition to determine product performance, safety, and regulatory compliance for their chemical products. For those producing physical products at scale, we help ensure that ingredients, materials, and formulations drive quality, consistency, speed-to-market, and margin. Our solutions are also vital for companies developing energy products or managing energy assets, where throughput, recovery, and operational reliability directly impact revenue and asset economics.

We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.

We're seeking a Solutions Engineer to join our team in the greater Houston area. This role will work with Sales, Product, and AI/Research teams to understand and meet customer needs, demonstrate in-depth knowledge of our products to prospective clients, and assist in selling complex scientific and technological solutions. The ideal candidate has experience in enterprise software solutions and professional services, solid hands-on technical skills, and preferably a background in Energy. They should possess a strong drive to achieve sales and business development goals and excellent interpersonal and customer success skills.

If you have a passion for solving industry challenges with real impact, letโ€™s talk! Join us in building a more sustainable world through the power of AI and scientific innovation.

Key Responsibilities

  • Drive business value through science-based AI use cases for customers and prospects
  • Present and demonstrate NobleAI VIP Platform capabilities to potential clients
  • Collaborate with the sales team and be the technology evangelist for NobleAI solutions
  • Lead implementation activities with internal AI, Product, and Engineering teams
  • Ensure successful customer delivery through various technical and support activities
  • Travel to customer sites as needed (up to 30% of time)

Requirements

What Weโ€™re Looking For

  • B.SC or M.SC Degree in Petroleum Engineering, Reservoir Engineering, Chemical Engineering, Mechanical Engineering, or other related field.
  • 5+ years of experience in technical consulting, business development, sales, forward deployed engineering or solutions-focused marketing. Minimum 2 years of technical experience and 3 years in a customer-facing position.
  • Proven ability to create new business opportunities and drive measurable results via consultative/solution selling.
  • Strong business acumen: can clearly communicate complex technical concepts, develop relationships, and tell the big-picture story.
  • Experience engaging customers, supporting pre-sales, or excelling in customer success; skilled communicator with both clients and teams.
  • Expertise in upstream or downstream energyโ€”can speak the language of NobleAIโ€™s core domains.
  • Familiarity with SaaS applications and deployment.
  • Strong Understanding of machine learning concepts and data science tools.
  • Strong communication and presentation skills.
  • Ability to work effectively with both technical and business stakeholders. Collaborates comfortably with AI scientists, ML engineers, and across functional teams.

What Sets You Apart

  • Fluent in Spanish or French
  • Expertise in materials, chemistry or chemical engineering
  • Experience working at a Start up
  • Experience driving customer workshops
  • Proficient with data analytics, visualization, data management, and predictive modeling tools:
    • Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc)
    • Javascript and front-end/back-end web app development experience
  • Hands-on experience for building and prototyping technical solutions using python, streamlit and other computing languages

We encourage qualified candidates from diverse scientific, engineering, and industry backgrounds to apply, even if you do not meet every listed criterion. We value fresh perspectives rooted in chemical, mechanical, electrical, petroleum, materials, or related domains.

Benefits

Did we mention we offer great pay & benefits?โ€ฏ

  • Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
  • Flexible Paid Time Off policy & generous Holidays
  • Remote-first with Industrious co-working access at The Ion for our Houston-based emploees
  • 401(k) with employer match
  • Equity package
  • Salary Range $200k-$215k OTE (Depending on experience & Geographic location)
  • Commission & performance-based bonus plan