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Machine Learning Engineer Intern Jobs in Lusby, MD

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111.20K - $133.50K/yr

Knowledge of advanced analytics principals (statistical modeling, machine learning, AI ... software engineering, and digital transformation. With over three decades in business, Sabre ...

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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 May 31, 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 job?

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

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 types of projects and tasks do Machine Learning Engineer Interns typically work on?

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.
More about Machine Learning Engineer Intern jobs
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 May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $42,548 per year, or $20.5 per hour.
Artificial Intelligence Intern

Artificial Intelligence Intern

Sabre Systems LLC

Lexington Park, MD • On-site

$14.50 - $19.50/hr

Full-time, Internship

Posted 16 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 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).
  • 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

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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: $20.00 - $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.
We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability or genetic information.
EEO Minorities/Females/Disability/Veterans; VEVRAA Federal Contractor
Beware of employment scams-Sabre Systems will never request payment, extend offers without an interview, or contact you from an email that doesn't end in @sabresystems.com; always apply directly at https://careers.sabresystems.com/.

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