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Machine Learning Engineer Intern Jobs in Alabama

Machine Learning Engineer

Huntsville, AL ยท On-site

$125 - $145/hr

Job Overview We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking data science team. In this role, you will leverage cutting-edge AI and machine learning ...

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

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 ...

Sr Machine Learning Engineer

Auburn, AL ยท On-site

$140 - $190/hr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Showing results 1-20

Machine Learning Engineer Intern information

See Alabama salary details

$23.1K

$38.6K

$79.8K

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

As of Aug 11, 2026, the average yearly pay for machine learning engineer intern in Alabama is $38,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,700.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Alabama? The most popular types of Machine Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Machine Learning Engineer Intern jobs? Cities in Alabama with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,597 per year, or $18.6 per hour.

Machine Learning Engineer

Socket.dev

Huntsville, AL โ€ข On-site

$125 - $145/hr

Other

Posted 4 days ago


Job description

Job Overview

We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking data science team. In this role, you will leverage cutting-edge AI and machine learning frameworks to develop, train, and deploy sophisticated models that drive impactful insights and solutions. Your expertise will help transform complex data into actionable intelligence, empowering our organization to stay at the forefront of technological advancement. This position offers an exciting opportunity to work with big data technologies, natural language processing, and cloud-based platforms, all while contributing to innovative projects that shape the future of data-driven decision-making.

Duties
  • Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools to solve real-world problems across various domains.
  • Implement unsupervised learning techniques to uncover hidden patterns and insights within large datasets.
  • Collaborate with cross-functional teams to integrate models into production environments through model deployment strategies and APIs.
  • Conduct data mining and ETL (Extract, Transform, Load) processes to prepare large-scale datasets for analysis and model training.
  • Develop scalable data pipelines utilizing Hadoop, Spark, Talend, and Bash scripting to handle big data efficiently.
  • Design and maintain databases with optimized schemas for storing linked data, ensuring high performance for analytics applications.
  • Apply natural language processing (NLP) techniques to enhance text analysis capabilities and support AI-driven language understanding projects.
  • Utilize cloud platforms like AWS for model training, deployment, and management while ensuring security and scalability.
  • Analyze complex datasets using SQL, R, SAS, and Looker to generate actionable insights for business strategies.
  • Stay current with advancements in machine learning frameworks, quantum engineering concepts, and analytics methodologies to continuously improve model accuracy and efficiency.
Experience
  • Proven experience in developing machine learning models using Python with frameworks such as TensorFlow or similar tools.
  • Strong background in big data technologies including Hadoop, Spark, and related ETL processes.
  • Hands-on experience with cloud services like AWS for scalable model training and deployment.
  • Proficiency in SQL for data querying alongside experience with database design principles.
  • Familiarity with natural language processing (NLP), AI techniques, and linked data concepts.
  • Knowledge of programming languages such as Java or C for integrating models into larger systems is a plus.
  • Experience working with analytics tools like Looker or VBA for reporting purposes.
  • Ability to perform data mining tasks effectively while managing large datasets efficiently.
  • Strong understanding of machine learning workflows from data preprocessing through model evaluation and deployment.
  • Excellent problem-solving skills combined with a proactive approach to staying updated on emerging technologies in quantum engineering, big data analytics, and machine learning frameworks. Join us if you're passionate about harnessing the power of AI to solve complex challenges! We're committed to fostering an inclusive environment where innovation thrives - empowering you to make a meaningful impact through your expertise in machine learning engineering!

Pay: $125,251.10 - $145,119.61 per year

Work Location: In person

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