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Remote Machine Learning Compiler Engineer Jobs in Alabama

... remote work and setting your own schedule. We are looking for proficient programmers to help ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

Senior AI/ML Tooling Engineer

Montgomery, AL · On-site +1

$144.70K - $261.30K/yr

The Role We are looking for an ML tooling engineer to build tools to analyze and optimize ... The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform ...

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Remote Machine Learning Compiler Engineer information

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.

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 most commonly searched types of Machine Learning Compiler Engineer jobs in Alabama? The most popular types of Machine Learning Compiler Engineer jobs in Alabama are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Alabama? For Remote Machine Learning Compiler Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Alabama look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Alabama are:
What cities in Alabama are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Alabama with the most Remote Machine Learning Compiler Engineer job openings:
Android Software Engineer

Android Software Engineer

DataAnnotation

Montgomery, AL • On-site, Remote

$40/hr

Full-time

Posted 18 days ago


Job description

Join to apply for the Android Software Engineer role at DataAnnotation . 1 day ago – Be among the first 25 applicants. Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying flexibility of remote work and setting your own schedule.

We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the‐art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization.

Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full‐time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview).

If you pass that assessment, you'll receive an email confirmation, and paid work will become available to you through our platform. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work.

Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher‐paying projects are available with strong performance. Impact: help shape the future of AI technologies.

Responsibilities Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high‐quality code snippets and detailed explanations. Evaluate AI‐generated code for accuracy, performance, and clarity.

Provide feedback that directly shapes the next generation of AI models. Qualifications Fluency in English (native or bilingual level). Preferred experience in Kotlin.

Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills. A bachelor's degree (completed or in progress).

Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Notes Payment is made via PayPal. We will never ask for any money from you.

PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

#coder Seniority level Entry level Employment type Full‐time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at DataAnnotation by 2x. Sign in to set job alerts for "Software Engineer" roles. #J-18808-Ljbffr