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Remote Machine Learning Compiler Engineer Jobs in Fort Worth, TX

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Paradigm

Senior ML Ops Engineer

Irving, TX · Remote

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

THOMSON REUTERS

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Python programming with a focus on writing high-quality, well-structured, and tested code ...

NTT DATA Services

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer to design, build, test, and deploy artificial intelligence, machine learning, and ... Remote role to be located in the United States Key Responsibilities * Design, develop, and ...

NTT DATA Services

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer to design, build, test, and deploy artificial intelligence, machine learning, and ... Remote role to be located in the United States Key Responsibilities * Design, develop, and ...

NTT DATA Services

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer to design, build, test, and deploy artificial intelligence, machine learning, and ... Remote role to be located in the United States Key Responsibilities * Design, develop, and ...

NTT DATA Services

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer to design, build, test, and deploy artificial intelligence, machine learning, and ... Remote role to be located in the United States Key Responsibilities * Design, develop, and ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Gigapower

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Virtual (Remote) Who We Are Gigapower is building next-generation fiber broadband infrastructure ... machine learning applications. · Establish and maintain standards for data quality, governance ...

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Showing results 21-40

All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Fort Worth, TX

Remote Machine Learning Compiler Engineer information

See Fort Worth, TX salary details

$71.9K

$160.5K

$196.5K

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

As of Aug 15, 2026, the average yearly pay for remote machine learning compiler engineer in Fort Worth, TX is $160,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,000.00 and $196,500.00 per year, depending on experience, location, and employer.

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 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.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Fort Worth, TX?

The most popular types of Machine Learning Compiler Engineer jobs in Fort Worth, TX are:

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Fort Worth, TX?

For Remote Machine Learning Compiler Engineer jobs in Fort Worth, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Fort Worth, TX look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Fort Worth, TX are:

What cities near Fort Worth, TX are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Fort Worth, TX with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you

AI Engineering Manager_Machine Learning

VeeRteq Solutions Inc.

Irving, TX • Remote

Contractor

Posted 22 days ago

Job description

Role: Sr AI Engineering Manager_Machine Learning

Experience: - Minimum 10+ Years

Location: - USA Remote

Hiring Type: - C2C

 
 

    We are looking for a AI Engineer to design, build, and deploy high-quality AI-powered features with end-to-end ownership from prototyping to production, ensuring reliable, scalable, and impactful AI solutions.

    Responsibilities: -

    End-to-End AI Feature Ownership

    • Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
    • Own the Full Lifecycle: prototyping → evaluation → production deployment → iteration
    • Ensure solutions are reliable, performant, and aligned with product needs

    AI System Implementation

    • Build and optimize prompt pipelines for specific use cases
    • Build retrieval systems (embeddings, chunking, ranking)
    • Implement RAG-based workflows where needed
    • Iterate on outputs to improve quality, accuracy, and consistency
    • Design scalable and cost-efficient AI architectures for production workloads
    • Select and evaluate models (hosted vs open-source) based on use case constraints

    Agent-Based Systems (AgentCore)

    • Design and build agentic workflows capable of multi-step reasoning and decision-making
    • Integrate agents with tools, APIs, and internal systems to perform real-world actions
    • Implement planning, execution, and reflection loops for complex tasks
    • Manage context, memory, and state across multi-step interactions
    • Balance deterministic workflows vs. agent autonomy for reliability and control

    Experimentation & Evaluation

    • Run structured experiments to compare approaches (prompting, retrieval, models)
    • Define and track key metrics for AI performance (quality, latency, cost)
    • Debug and improve non-deterministic system behavior
    • Build and maintain evaluation datasets and benchmarks
    • Implement automated evaluation pipelines for continuous improvement

    Collaboration & Contribution

    • Drive technical direction and influence AI adoption across teams
    • Partner with product managers and designers to scope AI features
    • Contribute to shared patterns and reusable components
    • Participate in code reviews and design discussions
    • Support and mentor mid-level engineers where needed

    AI Reliability, Safety & Governance

    • Design guardrails to ensure safe and reliable AI behavior
    • Mitigate hallucinations, prompt injection, and model misuse
    • Ensure compliance with data privacy and enterprise requirements
    • Implement monitoring and observability for AI systems in production
    • Implement guardrails for agent actions (tool access control, execution boundaries)
    • Prevent failure cascades in multi-step agent

     

    Educational Qualifications: -

    • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
    • Technical certification in multiple technologies is desirable.

     

    Skills: -

    Mandatory skills

    Core AI Skills

    • Strong understanding of LLM capabilities and limitations
    • Experience with prompt engineering and structured output design
    • Hands-on experience with embeddings and vector search
    • Familiarity with RAG architectures and when to apply them
    • Experience designing agent-based architectures (AgentCore concepts)
    • Understanding of tool use, planning strategies, and memory mechanisms in LLM systems

    Engineering Skills

    • 5+ years of related work experience
    • Solid backend/system design fundamentals
    • Experience building and deploying production-grade systems
    • Ability to debug complex issues, including probabilistic outputs
    • Comfort working with APIs, pipelines, and data flows

    Product Thinking

    • Ability to translate user needs into effective AI solutions
    • Strong intuition for balancing quality, latency, and cost
    • Focus on delivering measurable product impact

    Collaboration

    • Communicates clearly across engineering and product teams
    • Contributes to team knowledge and shared practices.

     

    Good to have skills

    • Evaluate agent performance across multi-step tasks (task success rate, error propagation)
    • Debug and optimize agent decision-making and tool selection behavior
    VeeRteq Solutions is an Equal Opportunity Employer