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Machine Learning Engineer Intern Jobs in Lusby, MD

Sabre Systems LLC

AI Intern

Lexington Park, MD · On-site

$14.50 - $19.50/hr

As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI ... of machine learning concepts, algorithms, and frameworks. * Proficiency in programming languages ...

Sabre Systems LLC

AI Intern

Lexington Park, MD · On-site

$14.50 - $19.50/hr

As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI ... of machine learning concepts, algorithms, and frameworks. * Proficiency in programming languages ...

Autodesk

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in ...

Manulife

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... Collaborate with data scientists to build pipelines for training and deploying machine learning ...

JET Systems

Be Seen First

DATA SCIENTIST - KNOWLEDGE GRAPHS & AI

Lexington Park, MD · On-site

$120K - $165K/yr

This role combines statistical analysis, data engineering, ontology development, knowledge graph design, and artificial intelligence and machine learning methods to support customer missions and ...

Sabre Systems, LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

... machine learning, AI) • Experience building/maintaining/automating dashboards for users • ... Engineering, Advanced Communication Technologies and Digital Engineering. Founded in 1989, the ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Lusby, MD

Machine Learning Engineer Intern information

See Lusby, MD salary details

$25.5K

$42.5K

$87.9K

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

As of Sep 5, 2026, the average yearly pay for machine learning engineer intern in Lusby, MD is $42,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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 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 cities near Lusby, MD are hiring for Machine Learning Engineer Intern jobs?

Cities near Lusby, MD with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Lusby, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,548 per year, or $20.5 per hour.

AI Intern

Sabre Systems LLC

Lexington Park, MD • On-site

$14.50 - $19.50/hr

Full-time, Internship

Posted 9 days ago

Job description

Responsibilities

Sabre Systems is seeking a motivated and talented AI Intern to help our organization leverage AI across various business units. As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI integration, develop solutions, and support the implementation of AI-driven processes. This role offers a unique opportunity to gain hands-on experience in applying AI to real-world business challenges while contributing to the company’s strategic goals.

  • Collaborate with business units to identify opportunities for AI-driven improvements in operations, decision-making, and efficiency. 
  • Analyze existing workflows and processes to recommend AI solutions that align with business objectives. 
  • Assist in developing and deploying machine learning models tailored to specific business needs, such as predictive analytics, process automation, and optimization. 
  • Support the integration of AI tools and technologies into existing systems and workflows across departments. 
  • Conduct research on emerging AI trends and technologies to identify innovative solutions for business challenges. 
  • Work with stakeholders to define project requirements, success metrics, and implementation plans for AI initiatives. 
  • Create dashboards, reports, and visualizations to communicate insights and results from AI projects to non-technical stakeholders. 
  • Document AI project methodologies, outcomes, and lessons learned for knowledge sharing across the organization. 
  • Ensure compliance with data security, privacy, and ethical standards in all AI-related activities. 

Qualifications
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field.
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools
     

It would be great if you have:

  • A strong understanding of machine learning concepts, algorithms, and frameworks.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn).

LI-PH#


Compensation Statement
At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows: $18.00 - $20.00
Refer & Earn: Employee Referral Bonus Eligibility
This requisition is not bonus-eligible, but we still welcome and value your referrals. At Sabre Systems, we encourage employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team.
Sabre Overview

Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation.  

With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.

Qualifications:
  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field.
  • Strong analytical skills and the ability to translate business needs into technical solutions. 
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. 
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
  • Familiarity with business process automation using AI tools and natural language processing (NLP) 
  • Understanding of Agile development methodologies, project management tools
     

It would be great if you have:

  • A strong understanding of machine learning concepts, algorithms, and frameworks.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn).

LI-PH#

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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