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Remote Machine Learning Compiler Engineer Jobs in Prosper, TX

WEX

Sr. Staff AI/ML Engineer

Dallas, TX · On-site +1

$220K - $255.80K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Maximus

AI/ML Software Developer

Mckinney, TX · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

eNett

Sr. Staff AI/ML Engineer

Dallas, TX · On-site +1

$220K - $255.80K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

DataAnnotation

DevOps Engineer

Dallas, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Allen, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Irving, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Richardson, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Frisco, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Lewisville, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Mckinney, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Plano, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Carrollton, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Garland, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Denton, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Frisco, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Denton, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Plano, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Dallas, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Prosper, TX

Remote Machine Learning Compiler Engineer information

See Prosper, TX salary details

$68.7K

$153.3K

$187.7K

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

As of May 31, 2026, the average yearly pay for remote machine learning compiler engineer in Prosper, TX is $153,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $187,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Prosper, TX? For Remote Machine Learning Compiler Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Prosper, TX look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Prosper, TX with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Prosper, TX as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% Remote job distribution, with an average salary of $153,337 per year, or $73.7 per hour.
Sr. Staff AI/ML Engineer

Sr. Staff AI/ML Engineer

WEX

Dallas, TX • On-site, Remote

$220K - $255.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

WEX Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

10th of 17 rated payment service providers

Job description

Job Description
Location:This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

Team:AI Platform Engineering, WEX Inc.

About WEX and the AI Platform Team

At WEX, we're transforming how businesses operate by embedding advanced AI into our global payments and mobility platforms. The AI Engineering team enables product development groups across WEX to build, deploy, and scale AI-powered experiences quickly and safely. We're cloud-first, automation-driven, and passionate about building systems that make AI a core part of our products-reliably, securely, and at scale.

If you're excited by Large Language Models, Agentic AI systems, MLOps, and cutting-edge production pipelines-and you thrive in fast-moving teams where innovation meets real-world impact-this is the role for you.

What You'll Do

  • Lead the design, implementation, and production deployment of machine learning and AI-driven systems-including LLM-based and agentic applications.

  • Partner with AI platform and product engineering teams to integrate advanced AI capabilities into WEX's enterprise systems.

  • Design and maintain ML pipelines, from data ingestion to model deployment, ensuring scalability, observability, and reusability across teams.

  • Build and expose AI functionality via RESTful APIs and micro-services architectures.

  • Champion engineering best practices: CI/CD, infrastructure-as-code, testing automation, and continuous improvement.

  • Contribute to architectural decisions with a focus on security, compliance, and performance-especially in regulated industries such as payments and healthcare.

  • Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to align technical solutions with strategic goals.

What You'll Bring

  • 12+ years of professional software or ML engineering experience, with a track record of deploying production-grade AI systems.

  • Proficiency in Python and key machine learning frameworks (PyTorch, TensorFlow, or similar).

  • Strong working knowledge of core libraries (NumPy, Pandas, scikit-learn) and LLM development frameworks (LangChain, ADK, or similar).

  • Experience with cloud platforms (AWS preferred; Azure or GCP also valuable) and Infrastructure-as-Code tools like Terraform.

  • Deep familiarity with CI/CD pipelines and DevOps practices using GitHub Actions or similar platforms.

  • Demonstrated ability to operate in agile, collaborative, high-trust teams.

  • Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred).

  • Bonus: Experience in financial systems, data compliance, or building multi-tenant Agentic AI applications.

Why Join WEX

You'll work within a lean, high-impact engineering group that values curiosity, autonomy, and real-world problem-solving. We move fast but balance innovation with responsibility-because AI at WEX touches millions of businesses and end users.

Join us to help evolve intelligent systems that change how enterprises move money and make decisions.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $220,000.00 - $255,800.00

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