ZipRecruiter

Log In

1

Machine Learning Intern Jobs in California, MD (NOW HIRING)

People also search for

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in California, MD

Machine Learning Intern information

See California, MD salary details

$24.4K

$40.8K

$84.3K

How much do machine learning intern jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning intern in California, MD is $40,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
What job categories do people searching Machine Learning Intern jobs in California, MD look for? The top searched job categories for Machine Learning Intern jobs in California, MD are:
What cities near California, MD are hiring for Machine Learning Intern jobs? Cities near California, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
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

#LI-EN1
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/.

Apply