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Remote Machine Learning Compiler Engineer Jobs in Atlanta, GA

TechStarsGroup LLC

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. **The Role** We are in ...

Visionaire Partners

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Prepare and build data and analytical automation pipeline for self-serving machine learning ... This is a fully remote position - however resources need to reside in GA, local to Atlanta ...

Visionaire Partners

Data Engineer

Atlanta, GA · Remote

$110K - $132K/yr

Prepare and build data and analytical automation pipeline for self-serving machine learning ... This is a fully remote position - however resources need to reside in GA, local to Atlanta ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... machine learning and data engineering. * Own the end-to-end delivery of complex predictive and ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... machine learning and data engineering. * Own the end-to-end delivery of complex predictive and ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · 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 ...

YO AI Labs

Mental Health Expert - Remote

Atlanta, GA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders ...

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · Remote

True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Atlanta, GA

Remote Machine Learning Compiler Engineer information

See Atlanta, GA salary details

$72.1K

$161K

$197.1K

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

As of Sep 2, 2026, the average yearly pay for remote machine learning compiler engineer in Atlanta, GA is $161,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $197,100.00 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 popular job titles related to Remote Machine Learning Compiler Engineer jobs in Atlanta, GA?

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

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

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

Remote Machine Learning Compiler Engineer jobs near you

Senior Platform Engineer

TechStarsGroup LLC

Atlanta, GA • Remote

$100K - $138K/yr

Full-time

Re-posted 4 days ago

Job description

Senior Platform Engineer - REMOTE

Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized.

**The Role**

We are in search of a platform engineer to join our team in enhancing, securing, and scaling our cutting-edge natural language understanding platforms. In this role, you will collaborate closely with both application developers and machine learning specialists to design and implement services using terraform and Google Cloud Platform (GCP). Additionally, you will play a key role in establishing and securing integrations with our clients and partners. As part of our compact and cooperative team, your contributions will significantly influence our operational methodologies.

**What You'll Do**

- Work in tandem with application engineers to develop and maintain robust, efficient, and secure infrastructure for our mobile and web applications.

- Forge secure connections between our platform and healthcare systems in collaboration with engineers and clients.

- Empower application teams with the tools and processes necessary for monitoring performance, availability, and reliability, fostering a culture of ownership.

- Seek out and spearhead initiatives to enhance engineering productivity through innovative tooling and streamlined processes.

- Oversee CI/CD pipelines and manage other critical components of our cloud-based development infrastructure.

- Champion and implement security best practices within the organization.

- Produce and update clear, relevant, and precise documentation.

**What You'll Bring**

- Over 5 years of software engineering background, with at least 3 years dedicated to infrastructure-as-code practices within a cloud-centric organization.

- Proficiency in managing Kubernetes clusters, including the creation and upkeep of helm charts for deploying applications.

- Expertise in developing and maintaining CI/CD pipelines for both infrastructure and application code deployments (e.g., Terragrunt, Atlas, ArgoCD, Octopus Deploy, Travis CI).

- Comfortable with implementing and securing services on Google Cloud Platform as Infrastructure as code, including managing GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups, and policies.

- Skilled in backend scripting languages (e.g., Python, GoLang, JavaScript, Rust, Bash).

- Always up-to-date with industry best practices and tools, with a keen interest in learning new technologies.

- Enthusiastic about contributing actively in a dynamic, productive, and supportive team environment.

- Ready to assist across various tasks, embracing the fast-paced nature of a growing startup.

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