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Remote Machine Learning Software Engineer Jobs in Terrell, TX

JDA

Sr. Machine Learning Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging AI ... Machine Learning Engineer, or a related/similar position. Experience therein to include the ...

New

DomainTools

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Equinix

AI/Machine Learning Engineer

Dallas, TX · Remote

... in software engineering, AI/ML engineering, or related roles, with demonstrated experience in ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ...

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All JobsMachine Learning Software Engineer JobsRemote Machine Learning Software Engineer JobsRemote Machine Learning Software Engineer Jobs in Terrell, TX

Remote Machine Learning Software Engineer information

See Terrell, TX salary details

$55.9K

$130K

$181K

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

As of Jul 30, 2026, the average yearly pay for remote machine learning software engineer in Terrell, TX is $129,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $152,400.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

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

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Terrell, TX? For Remote Machine Learning Software Engineer jobs in Terrell, TX, the most frequently searched job titles are:
What cities near Terrell, TX are hiring for Remote Machine Learning Software Engineer jobs? Cities near Terrell, TX with the most Remote Machine Learning Software Engineer job openings:
Remote Machine Learning Software Engineer jobs near you
Infographic showing various Remote Machine Learning Software Engineer job openings in Terrell, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,953 per year, or $62.5 per hour.

Software Engineer - AI Specialist | Remote

GigWorld Talent Solutions

Dallas, TX • On-site, Remote

Other

Re-posted 17 days ago

Job description

Job Description Software Engineer - AI Specialist | Remote Permanent, Full-Time We are supporting an innovative technology firm dedicated to building AI-driven solutions that drive efficiency and transformation across industries. We are seeking a highly skilled Software Engineer specializing in Artificial Intelligence to develop, optimize, and deploy AI-powered applications. Responsibilities: Design, develop, and implement AI models and machine learning algorithms.

Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Optimize AI models for performance, scalability, and efficiency. Research and apply the latest advancements in AI and deep learning.

Develop and maintain data pipelines and AI-driven analytics systems. Ensure AI models are robust, ethical, and aligned with best practices. Troubleshoot and improve AI-based applications as needed.

Stay updated on emerging AI trends and technologies. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI and machine learning development.

Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with natural language processing (NLP), computer vision, or predictive analytics

Knowledge of data science methodologies and model evaluation techniques. Experience with cloud platforms and AI services (AWS, Azure, GCP). Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications: Experience with reinforcement learning and generative AI models. Familiarity with AI ethics, bias mitigation, and explainability techniques. Contribution to open-source AI projects.

Understanding of big data technologies and distributed computing. Benefits: Competitive salary and performance-based incentives. Flexible work schedule and remote work opportunities.

Professional development and continuous learning resources. Opportunity to work with a passionate and innovative team in a fast-growing industry.

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