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Remote Machine Learning Compiler Engineer Jobs in Prosper, TX

Addison Group

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

Paychex

Data Solutions Engineer

Irving, TX · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Cambium Learning Group

Principal Scientist

Dallas, TX · On-site +1

As a Principal Scientist at CAI, you will play an integral part of the machine learning team, which consists of data scientists, psychometricians, linguists, and software engineers. Our team focuses ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

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 ...

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All JobsMachine Learning Compiler Engineer 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 Jul 23, 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.

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 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 July 2026, with employment types broken down into 6% Locum Tenens, 7% As Needed, 81% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $153,337 per year, or $73.7 per hour.
Sr. Software Engineer

Sr. Software Engineer

Addison Group

Irving, TX • Remote

$170K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Job Title: Senior Software Engineer – Cloud Infrastructure / Network Automation

Industry: Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering

Location (City, State): Hybrid (3 days onsite, 2 days remote)

Assignment Type: Direct Hire

Pay: $170,000–$220,000 base salary, plus performance bonus

Work Schedule: Full-time | Hybrid schedule (3 days onsite, 2 days remote)

Benefits: This position is eligible for medical, dental, vision, and 401(k).

About The Company

Our client is an innovative technology organization focused on building scalable cloud infrastructure and distributed computing solutions. Their engineering teams work on cutting-edge technologies that power modern infrastructure, automation, and high-performance computing environments. They offer a collaborative, engineering-driven culture where innovation, ownership, and teamwork are highly valued.

Job Description

We are seeking an experienced Senior Software Engineer to help design and develop modern infrastructure platforms, automation tools, and backend services supporting large-scale cloud environments. This is a hands-on engineering position where you'll collaborate with cross-functional teams to build reliable, scalable solutions while working with the latest cloud-native technologies.

Key Responsibilities

  • Develop software that automates infrastructure deployment, provisioning, and lifecycle management.
  • Design and build scalable backend applications and internal engineering tools.
  • Create automation solutions that improve operational efficiency across cloud environments.
  • Collaborate with network, platform, and security teams on infrastructure initiatives.
  • Develop APIs and services that enable self-service capabilities for internal engineering teams.
  • Implement Infrastructure-as-Code and automation best practices.
  • Integrate automated testing and deployment into CI/CD pipelines.
  • Participate in software architecture discussions and technical decision-making.
  • Monitor, troubleshoot, and improve system reliability and performance.
  • Contribute to distributed systems supporting large-scale compute workloads.

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong experience developing backend applications in Go, Python, Java, C++, or Rust.
  • Hands-on experience working in Linux environments.
  • Experience with Kubernetes or other container orchestration platforms (EKS, AKS, ECS, GKE, etc.).
  • Solid understanding of cloud infrastructure and distributed systems.
  • Experience building APIs, automation platforms, or infrastructure services.
  • Knowledge of software engineering best practices, including testing, version control, and CI/CD.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent collaboration and communication abilities.

Additional Details

Preferred experience includes:

  • Network automation or infrastructure engineering
  • Infrastructure-as-Code tools such as Terraform or Ansible
  • Data center networking concepts
  • TCP/IP, DNS, HTTP, load balancing, or network security
  • Monitoring, observability, and telemetry platforms
  • Event-driven architectures and messaging systems
  • High-performance computing (HPC) or distributed computing environments
  • Open-source software contributions
  • AI or machine learning applications related to infrastructure

Candidates should have a stable work history, enjoy solving complex technical challenges, and thrive in collaborative engineering environments.

Perks

  • Competitive annual performance bonus
  • Employer-paid medical benefits for employees and families
  • 401(k) with generous company match
  • Company HSA contribution
  • 25 days of paid time off plus company holidays
  • Paid parental leave
  • Wellness and fitness membership
  • Daily lunch benefit while working onsite
  • Relocation assistance available for qualified candidates
  • Opportunity to work with modern cloud technologies and highly technical engineering teams