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Remote Google Machine Learning Engineer Jobs in Spring, TX

NRG

Sr Data Scientist

Houston, TX · On-site +1

AI & Machine Learning Development: Design, train, and deploy predictive models (classification ... Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and ...

NRG Energy

Sr Data Scientist

Houston, TX · On-site +1

AI & Machine Learning Development: Design, train, and deploy predictive models (classification ... Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and ...

Quvia

Sales Engineer, Energy

Houston, TX · Remote

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Quvia

Sales Engineer, Energy

Houston, TX · On-site +1

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Webforge

Data Scientist

Houston, TX · On-site +1

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... Build and test machine learning models with open source and internally built tools * Take on ad hoc ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

Enova International

Be Seen First

Collection Specialist (Remote)

Houston, TX · Remote

$18/hr

This role is 100% remote, but candidates must reside in one of the following states: Iowa, Illinois ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

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Remote Google Machine Learning Engineer information

See Spring, TX salary details

$28K

$114.6K

$172.2K

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

As of Jul 19, 2026, the average yearly pay for remote google machine learning engineer in Spring, TX is $114,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,900.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Spring, TX? For Remote Google Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
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What cities near Spring, TX are hiring for Remote Google Machine Learning Engineer jobs? Cities near Spring, TX with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you
Refueling & Remote Handling Engineer

Refueling & Remote Handling Engineer

Sterling Engineering Inc.

Houston, TX • Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Title: Mechanical Design Engineer – Remote Handling & Reactor Servicing
Location: Full-Time Remote (Contiguous U.S.)
Hire Type: Direct Hire
Shift/Hours: Monday–Friday, standard business hours
Base Salary: $110,000 – $150,000 (DOE)
Benefits: Medical, Dental, Vision; PTO; 401(k); Paid Holidays; Career Growth Opportunities

About the Opportunity
An advanced nuclear technology organization is seeking a Mechanical Design Engineer to support the design and development of remote handling systems, reactor servicing tools, and automated inspection equipment used during reactor refueling operations.
This role focuses on mechanical handling systems, robotics/automation integration, and tooling design within a highly regulated nuclear environment. The ideal candidate will bring strong mechanical design experience, cross-functional collaboration skills, and a commitment to nuclear safety and quality standards.

Job Duties
• Design and develop reactor servicing tools, remote handling equipment, and inspection systems.
• Prepare and review engineering calculations, drawings, specifications, and technical documentation.
• Collaborate with component design, civil/structural, systems engineering, and operations teams to ensure interface and performance requirements are met.
• Develop integrated handling plans and work sequences for refueling operations.
• Support procurement, fabrication oversight, vendor coordination, and equipment testing activities.
• Ensure compliance with nuclear quality standards (10 CFR 50 Appendix B, 10 CFR 21, NQA-1).
• Provide innovative solutions to complex mechanical design and automation challenges.
• Manage technical scope, schedules, and engineering deliverables.

Qualifications
• B.S. in Mechanical, Electrical, or Nuclear Engineering (ABET preferred).
• 5+ years of professional engineering experience in mechanical system design.
• Experience designing mechanical handling equipment, tooling systems, or automated machinery.
• Experience preparing and reviewing engineering calculations and design documentation.
• Nuclear industry experience strongly preferred.
• PE license preferred.
• Must be eligible to work under DOE 10 CFR Part 810.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin.