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Remote Machine Learning Compiler Engineer Jobs in Denver, CO

Paradigm

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

DomainTools

Senior Software Engineer

Denver, CO · 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 ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and ... Interest in AI, machine learning, or intelligent automation.

Magnite

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Synergetics

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... This is a mostly remote position; candidates should reside or be willing to relocate to Northern ...

COMIRB

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation ... Contribute to automation and data-driven technologies, including support for machine learning and ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

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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 Denver, CO

Remote Machine Learning Compiler Engineer information

See Denver, CO salary details

$77.2K

$172.3K

$211K

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

As of Aug 6, 2026, the average yearly pay for remote machine learning compiler engineer in Denver, CO is $172,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,200.00 and $211,000.00 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 Denver, CO? The most popular types of Machine Learning Compiler Engineer jobs in Denver, CO are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Denver, CO? For Remote Machine Learning Compiler Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Denver, CO are:
Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Denver, CO as of June 2026, with employment types broken down into 50% Full Time, 29% Part Time, 6% Temporary, 9% Contract, and 6% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $172,340 per year, or $82.9 per hour.

Senior Applied ML Engineer

Paradigm

Denver, CO • Remote

$125K - $183K/yr

Full-time

Re-posted 22 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.

What You Will Do:

  • Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.

  • Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.

  • Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.

  • Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.

  • Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.

  • Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.

What You Need to Succeed:

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.

  • 5+ years of experience designing and deploying applied ML systems at scale.

  • Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).

  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).

  • Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).

  • Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).

  • Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.

  • Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.

  • Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $125,250 - $183,700