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Remote Machine Learning Compiler Engineer Jobs in Washington, DC

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer (IC)

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Washington, DC

Remote Machine Learning Compiler Engineer information

See Washington, DC salary details

$84.9K

$189.6K

$232.2K

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

As of Aug 18, 2026, the average yearly pay for remote machine learning compiler engineer in Washington, DC is $189,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $162,000.00 and $232,200.00 per year, depending on experience, location, and employer.

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.

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 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 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 most commonly searched types of Machine Learning Compiler Engineer jobs in Washington, DC?

The most popular types of Machine Learning Compiler Engineer jobs in Washington, DC are:

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Washington, DC?

For Remote Machine Learning Compiler Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Washington, DC are:

Remote Machine Learning Compiler Engineer jobs near you

Machine learning Engineer & AI Platform Developer - 10+years of experirnce

Two95 International Inc.

Herndon, VA • Remote

Contractor

Re-posted yesterday

Job description

Job Title: Machine Learning Engineer & AI Platform Developer - 10+years experience

Location: Remote

Type: Full-Time

Job Description:

We are looking for a talented Machine Learning Engineer & AI Platform Developer to join our team. In this role, you will be responsible for designing, developing, and deploying machine learning models and AI applications. You will work closely with data scientists, software engineers, and other stakeholders to implement AI solutions that meet business needs.

Key Responsibilities:

  • Design and develop machine learning models and AI platforms to solve complex problems.
  • Work with large datasets to preprocess, analyze, and derive insights using machine learning techniques.
  • Implement and deploy scalable machine learning solutions using cloud platforms (e.g., AWS, GCP, Azure).
  • Collaborate with cross-functional teams to integrate machine learning models into existing applications.
  • Optimize and monitor model performance, making improvements as necessary.
  • Stay current with emerging AI technologies and best practices to drive continuous improvement.
  • Document processes, code, and model performance for future reference.

Requirements

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • Proven experience as a Machine Learning Engineer or similar role (3+ years preferred).
  • Strong programming skills in Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying AI solutions.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Solid understanding of algorithms, data structures, and software engineering principles.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work collaboratively in a fast-paced environment.
TWO95 International logo

About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

Social media

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