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Remote Machine Learning Compiler Engineer Jobs in Atlanta, GA

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

Experience developing AI applications using modern LLMs, machine learning models, or intelligent ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

Aimpoint Digital

Senior AI Engineer 2026 - US

Atlanta, GA · Remote

$100K - $138K/yr

Experience developing AI applications using modern LLMs, machine learning models, or intelligent ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

... engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to ...

iSenpai

SIEM Engineer-Atlanta, GA

Atlanta, GA · Remote

Remote access to a virtual lab for testing/learning opportunities * Flexible / Alternative Work ... Develop guidance on data analysis and reporting, including the use of machine learning models and ...

Travelport

Director Data & AI Platform Engineer

Atlanta, GA · On-site +1

$108K - $130K/yr

Director Data & AI Platform Engineer | US | Langley, UK. Travel obsessed? Big tech fan? Hey, you're ... Lead the design and build our AI native travel search APIs by building machine learning feedback ...

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Booz Allen Hamilton, Inc.

AL/ML Engineer

Atlanta, GA · On-site +1

Remote Work: Hybrid Job Number: R0243410 Location: Atlanta,GA,US Share job via: Share AL/ML Engineer The Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and ...

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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 Jul 22, 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.

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 Atlanta, GA? For Remote Machine Learning Compiler Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
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Remote Machine Learning Compiler Engineer jobs near you
Principal Decision Scientist, Applied Optimization and Simulation 2026 - US (Remote)

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US (Remote)

Aimpoint Digital

Atlanta, GA • Remote

Full-time

Posted 3 days ago

Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.