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From Home Machine Learning Compiler Engineer Jobs in Alabama

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job ... from prototype to production, including setting up model deployment pipelines and monitoring ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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From Home Machine Learning Compiler Engineer information

What is the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?

AspectFrom Home Machine Learning Compiler EngineerFrom Home Data Scientist
Required SkillsProgramming (C++, Python), compiler design, ML frameworksStatistics, data analysis, programming (Python, R), visualization
Work EnvironmentRemote, software development teams, tech companiesRemote, analytics teams, research institutions
Industry UsageTech, AI, hardware optimizationTech, finance, healthcare, research

While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

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 From Home Machine Learning Compiler Engineer jobs in Alabama? For From Home Machine Learning Compiler Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in Alabama look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in Alabama are:
What cities in Alabama are hiring for From Home Machine Learning Compiler Engineer jobs? Cities in Alabama with the most From Home Machine Learning Compiler Engineer job openings:

Machine Learning Engineer

Waypoint Human Capital

Huntsville, AL • On-site

Full-time

Posted 12 days ago


Job description

Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint's client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
•Integrate machine learning systems into existing software architectures and enterprise platforms
•Design, build, and optimize data pipelines to support model training and inference
•Develop, test, and deploy machine learning models into production environments
•Manage transition from prototype to production, including deployment pipelines and monitoring solutions
•Monitor model performance, including handling model drift, rollback, and failure scenarios
•Conduct experiments and testing to evaluate and improve model accuracy and performance
•Write clean, maintainable, and testable code in Python and related technologies
•Collaborate with cross-functional teams to integrate ML capabilities into mission systems
•Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
•Support development in Linux and Windows environments
Required:
•Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
•Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
•Minimum 12+ years of overall experience, including 1-3 years working with machine learning frameworks
•Strong programming skills in Python
•Experience with machine learning frameworks, libraries, and data modeling techniques
•Solid understanding of the machine learning lifecycle
•Experience working with SQL and NoSQL databases
•Experience working in Linux and Windows environments
•Familiarity with CI/CD pipelines and Agile development methodologies
•Understanding of software design and system integration principles
Desired:
•Active TS/SCI with CI Polygraph (desired)
•Experience working with large-scale (petabyte-level) datasets
•Experience supporting multi-INT analytics environments
•Experience deploying, monitoring, and scaling machine learning models in production
•Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
•Experience implementing GitOps workflows
•Experience working in secure or classified environment