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Remote Senior Machine Learning Engineer Jobs in Madera, CA

JLL

Construction Senior Project Manager

Fresno, CA · Remote

$110K - $150K/yr

Lead entire project team consisting of architects, engineers, general and specialty contractors ... This is a remote position with 60% traveling for projects throughout the region. Mileage ...

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Remote Senior Machine Learning Engineer information

See Madera, CA salary details

$77.3K

$146.7K

$196.5K

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

As of Aug 19, 2026, the average yearly pay for remote senior machine learning engineer in Madera, CA is $146,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,400.00 and $165,300.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What cities near Madera, CA are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Madera, CA with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior Machine Learning Engineer jobs near you

Senior GIS Specialist (Remote)

Terrestris Global Solutions

Fresno, CA • Remote

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

Are you looking for a Challenge? Looking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Senior GIS Specialist to support the U.S. Department of the Interior (DOI), Bureau of Reclamation (BOR) by providing advanced Geographic Information Systems (GIS) technical services. This position will support the development, maintenance, and enhancement of enterprise GIS capabilities through geospatial analysis, database management, application development, automation, and technical documentation.

This is a proposal position contingent upon contract award.

I've never heard of Terrestris. What do you do?

At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective.

So, what will the Senior GIS Specialist at Terrestris do?

The Senior GIS Specialist will support Bureau of Reclamation programs by creating and maintaining high-quality geospatial products, GIS databases, analytical tools, and mapping solutions. This role requires strong technical expertise with ESRI technologies, GIS programming, spatial analysis, and enterprise geodata management.

What does a typical day look like for the Senior GIS Specialist?

You will:

  • Perform GIS systems analysis, concept development, design, implementation, and documentation in support of enterprise GIS initiatives.
  • Develop, configure, and maintain GIS applications, databases, automation tools, processing models, and analytical workflows.
  • Design and manage geodatabases, data structures, metadata, and spatial data management processes.
  • Develop GIS automation solutions using Python, Arcade, ModelBuilder, and related geospatial programming tools.
  • Perform advanced spatial analysis, geoprocessing, and visualization to support mission requirements.
  • Create and maintain cartographic products, maps, and geospatial deliverables.
  • Support GIS application configuration, user/project setup, and ongoing system enhancements.
  • Perform digitizing, data conversion, quality control, and spatial data validation activities.
  • Support enterprise GIS modernization efforts, including field data workflows and improved geospatial data accessibility.
  • Prepare technical documentation, standard operating procedures, user guides, and project documentation.
  • Collaborate with GIS users, technical teams, and stakeholders to identify requirements and implement effective GIS solutions.

What qualifications do you look for?

You might be the professional we're looking for if you have:

  • Bachelor's degree in Geography, Natural Resources Management, Earth Sciences, Engineering, Computer Science, or a related discipline; equivalent professional experience may be considered.
  • Minimum of 35 years of GIS production experience utilizing ESRI software.
  • Minimum of 3 years of experience developing GIS solutions using one or more of the following:
    • Python
  • Arcade
  • ModelBuilder
  • Experience with ESRI ArcGIS platforms, including:
    • ArcGIS Pro
  • Enterprise geodatabases
  • Cartographic production
  • 3D analysis and visualization
  • Enterprise GIS data management
  • Field workflow modernization
  • Experience supporting GIS database development, maintenance, and spatial analysis activities.
  • Strong technical documentation and communication skills.

We are extra impressed by folks with:

  • Recent ESRI training or certifications in relevant GIS technologies.
  • Experience supporting federal, state, or natural resources programs.
  • Experience with enterprise GIS architecture and large-scale geospatial datasets.
  • Experience implementing GIS automation and workflow improvements.
  • Experience supporting field data collection solutions and mobile GIS applications.

Work Location

Remote work is available; however, remote employees must:

  • Reside within 50 miles of a Department of the Interior/Bureau of Reclamation Federal building located in one of the 17 designated Western U.S. states.
  • Be available to report onsite when requested for meetings, technical support, training, or other Government requirements.
  • Understand that remote work privileges are subject to Government approval and may be revoked at the Government's discretion.

Dedicated office space is available in Sacramento, California.

What kind of benefits does Terrestris Offer?

We offer outstanding benefits including health, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category.

Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S.

DILBERT 2018 Scott Adams. Used By permission of ANDREWS MCMEEL SYNDICATION. All rights reserved.