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Machine Learning Research Engineer Jobs in Alabama

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You will learn and apply new techniques from open source packages and research publications, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

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Showing results 1-20

Machine Learning Research Engineer information

See Alabama salary details

$33.5K

$96.1K

$129.2K

How much do machine learning research engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for machine learning research engineer in Alabama is $96,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $94,300.00 per year, depending on experience, location, and employer.

What does a Machine Learning Research Engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

What are some common challenges faced by Machine Learning Research Engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Engineer position, and why are they important?

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What job categories do people searching Machine Learning Research Engineer jobs in Alabama look for? The top searched job categories for Machine Learning Research Engineer jobs in Alabama are:
Infographic showing various Machine Learning Research Engineer job openings in Alabama as of June 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $96,088 per year, or $46.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Abode Techzone LLC

Huntsville, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer

Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

About the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.

Key Responsibilities

  • Design, build, and integrate machine learning solutions into broader software systems and infrastructure
  • Conduct testing, experimentation, validation, and performance documentation
  • Write clean, scalable, and maintainable Python code
  • Collaborate with engineering teams to ensure machine learning solutions align with system architecture
  • Develop and optimize data pipelines that support machine learning workflows
  • Convert machine learning prototypes into scalable, production-ready applications
  • Create deployment pipelines for machine learning models
  • Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
  • Support CI/CD workflows and GitOps practices
  • Work across secure Linux and Windows environments

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL Databases
  • Linux
  • Windows

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
  • Minimum of 12 years of overall professional experience
  • 1-3 years of hands-on experience working with machine learning frameworks
  • Strong Python programming experience
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience working with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Strong understanding of software design principles and system integration

Preferred Qualifications

  • Master's degree in a related field with 12 years of experience OR
  • Bachelor's degree in a related field with 17 years of experience
  • Experience working with petabyte-scale datasets
  • Background supporting multi-source intelligence analytics
  • Experience deploying, monitoring, and scaling machine learning models in production environments

Key Skills Required

  • Machine Learning Model Deployment
  • Python Development
  • Data Pipeline Engineering
  • CI/CD Implementation
  • Cloud & Container Technologies
  • System Integration
  • Database Management

Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

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