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Machine Learning Engineer Remote Sensing Jobs (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... sensing, data analysis, or image-processing applications. * Strong programming skills in Python ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Bachelor's degree in Electrical Engineering, Physics, or comparable technical degree; non-technical ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Spotify

Machine Learning Engineer

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

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Machine Learning Engineer Remote Sensing information

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$75K

$167.4K

$205K

How much do machine learning engineer remote sensing jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning engineer remote sensing in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.

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

AspectMachine Learning Engineer Remote SensingData Scientist Remote Sensing
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops ML models for remote sensing data, often in tech or research labsAnalyzes remote sensing datasets to extract insights, often in research or environmental agencies
Employer & Industry UsageTech companies, environmental agencies, aerospace firmsResearch institutions, government agencies, environmental consultancies

While both roles work with remote sensing data, Machine Learning Engineers focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are some common challenges faced by Machine Learning Engineers working with remote sensing data?

Machine Learning Engineers in remote sensing frequently encounter challenges such as handling large volumes of high-dimensional data and dealing with inconsistencies caused by sensor noise or atmospheric interference. Additionally, remote sensing datasets often require significant preprocessing and annotation, which can be time-consuming and technically demanding. Collaborating with domain experts, such as geospatial analysts or climate scientists, is crucial to ensure models are accurately interpreting the data. Staying updated with advancements in both machine learning and remote sensing hardware can also be essential for continued success in this rapidly evolving field.

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

To thrive as a Machine Learning Engineer in Remote Sensing, you need a solid background in computer science, mathematics, and remote sensing concepts, often evidenced by a relevant degree and experience in data analysis. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with geospatial data tools (e.g., GDAL, QGIS) or cloud platforms are typically required. Strong problem-solving, collaboration, and communication skills help you effectively interpret complex data and work within multidisciplinary teams. These skills ensure accurate model development, efficient processing of remote sensing data, and actionable insights for real-world applications.

What does a Machine Learning Engineer in Remote Sensing do?

A Machine Learning Engineer in Remote Sensing develops algorithms and models to analyze data collected from satellite, aerial, or drone sensors. Their work involves processing large volumes of imagery or sensor data to extract valuable insights, such as detecting land cover changes, mapping natural resources, or monitoring environmental conditions. They collaborate with data scientists, GIS specialists, and domain experts to design solutions that automate the interpretation of complex geospatial datasets. The role often requires expertise in machine learning, image processing, and remote sensing technologies.
Infographic showing various Machine Learning Engineer Remote Sensing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $167,438 per year, or $80.5 per hour.

Senior Remote Sensing Technician

WESTWOOD PROFESSIONAL SERVICES INC

Las Vegas, NV • Remote

Other

Posted 25 days ago

Westwood Professional Services rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

85th of 351 rated engineering

Job description

Description

Westwood Professional Services, Inc. is seeking a Senior Remote Sensing Technician to join our team. Westwood's growing Geospatial Department provides professional-level products to its clients, leveraging the latest in industry technology. Westwood has a highly experienced, dynamic team dedicated to providing high-level professional services to our clients.


The Senior Remote Sensing Technician is responsible for post-processing aerial data to final deliverables supporting multiple markets and users. This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks. The Senior Remote Sensing Technician will work closely with Remote Sensing Project Leads and other stakeholders to support the successful execution of projects.

Requirements

Duties and Responsibilities:

  • Work closely with Remote Sensing Leadership and Project Leads to meet project expectations.
  • Perform post-processing procedures according to internal guidelines and industry best practices.
  • Create final deliverables based on project scope for various markets ready for the client as final deliverables.
  • Troubleshoot technical issues related aerial datasets.
  • Conduct thorough quality control checks to ensure the accuracy and reliability from junior technicians.
  • Stay updated on the latest advancements and best practices in remote sensing.
  • Assist in the development and implementation of standard operating procedures for aerial deliverables.
  • Collaborate with software vendors to address issues and obtain necessary support.
  • Participate in training programs and workshops to enhance technical knowledge and skills.
  • Assist with testing and implementation of new software.

Required Experience:

  • Minimum 5+ years of experience or Associate degree or equivalent in a related field (e.g., geomatics, surveying, remote sensing).
  • Minimum 3+ years in a senior technician role.
  • ASPRS certifications highly desired.
  • Strong understanding of LiDAR and remote sensing principles and data processing.
  • Proficiency in using Remote Sensing software and tools, such as, TerraSolid, RiProcess, MicroStation, MetaShape, Photoshop, PLS-CADD, TopoDOT.
  • In depth knowledge of coordinate systems and projections.
  • Industry experience in power generation and delivery, DOT, and renewables.
  • Scripting and light programming knowledge to support automation.
  • Familiarity with surveying techniques and equipment for project control understanding.
  • Excellent problem-solving and troubleshooting skills.
  • Strong attention to detail and ability to work with precision.
  • Effective communication and teamwork skills.
  • Ability to work independently and manage multiple tasks simultaneously.
  • Willingness to adapt to changing technologies and industry trends.


Note: This job description is a general outline of the key responsibilities and qualifications of a Remote Sensing Calibration Technician. It is not exhaustive and may be subject to change based on the specific needs of the organization and projects.



About Westwood Professional Services, Inc. (Westwood)

At Westwood, our purpose is to create a better world for people through our work. We transform the energy grid, design resilient infrastructure, and develop communities that will flourish today and for future generations. With over 50 years of experience and a legacy of innovation, we stand at the forefront of our industry, dedicated to understanding the unique needs of the markets we serve.


Join us in creating a better world.

In 2024, Zweig Group ranked Westwood nationally at #13 and #40, respectively, on its Hot Firms and Best Firms to Work for lists. Zweig also awarded Westwood one national 1st place award for Marketing Excellence. Westwood was recently recognized as #83 in the ENR Top 500 Firms in 2024. The firm consistently ranks on the industry's top 25 lists and receives recognition for its involvement in award-winning projects nationwide.


Westwood provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We believe that diverse backgrounds strengthen our business. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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