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

Family Center Intern - Pasadena

Pasadena, MD · On-site

$15.25 - $20.25/hr

Under the supervision of a Family Center Director or other assigned associate, the Family Center Intern participates in a structured learning and professional development experience designed to ...

Medical Intern

Earleville, MD · On-site

$14.75 - $19.75/hr

The Medical Intern at an RCA facilityis responsible forthe provision of medically assisted treatment and limited primary care to patients with substance abuse disorder, including short term chronic ...

Converge Intern

North East, MD · On-site

$14.75 - $19.75/hr

To learn more about yourself and helpful life skills while learning about the hospitality ministry. Simultaneously, provide an enjoyable and safe experience for Sandy Cove guests, so that they may ...

Converge Intern

North East, MD

$14.75 - $19.75/hr

To learn more about yourself and helpful life skills while learning about the hospitality ministry. Simultaneously, provide an enjoyable and safe experience for Sandy Cove guests, so that they may ...

Converge Intern

North East, MD · On-site

$14.75 - $19.75/hr

To learn more about yourself and helpful life skills while learning about the hospitality ministry. Simultaneously, provide an enjoyable and safe experience for Sandy Cove guests, so that they may ...

Machine Learning Intern information

See Chestertown, MD salary details

$24.3K

$40.7K

$84K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in Chestertown, MD is $40,656.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

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 does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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.

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 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 cities near Chestertown, MD are hiring for Machine Learning Intern jobs? Cities near Chestertown, MD with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Chestertown, MD as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,656 per year, or $19.5 per hour.

Family Center Intern - Pasadena

ymaryland

Pasadena, MD • On-site

$15.25 - $20.25/hr

Other

Re-posted 18 days ago


Job description

POSITION SUMMARY:

Under the supervision of a Family Center Director or other assigned associate, the Family Center Intern participates in a structured learning and professional development experience designed to provide exposure to the operations of a community-based Family Center. The intern will have opportunities to observe, learn, and gain practical experience across various departments, including but not limited to Membership, Fitness, Youth and Family Programming, and Occupancy. 

ESSENTIAL FUNCTIONS:

  • Participate in a structured internship experience to provide exposure to Family Center operations, programs, and services.

  • Shadow and observe associates across various departments, to gain an understanding of daily operations. 

  • Participate in training opportunities and professional development activities to enhance workplace knowledge and career readiness.

  • Learn and practice customer service, communication, teamwork, and professional skills under the guidance of assigned supervisors and mentors.

  • Develop an understanding of the Family Center’s mission, values, programs, and community impact. 

  • Build relationships with associates and community members while demonstrating the organization’s core values of Caring, Honesty, Respect, and Responsibility. 

  • Complete assigned learning activities, documentation, and internship requirements as outlined by the internship agreement or educational institution. 

YMCA COMPETENCIES (Leader):

Mission Advancement: Models and teaches the Ys values. Ensures a high level of service with a commitment to changing lives. Provides volunteers with orientation, training, development, and recognition. Cultivates relationships to support fund-raising.

Collaboration: Champions inclusion activities, strategies, and initiatives. Build relationships to create small communities. Empathetically listens and communicates for understanding when negotiating and dealing with conflict. Effectively tailors communications to the appropriate audience. Provides staff with feedback, coaching, guidance and support.

Operational Effectiveness: Provides others with frameworks for making decisions. Conducts prototypes to support the launching of programs and activities. Develops plans and manages best practices through engagement of the team. Effectively creates and manages budgets.

Holds staff accountable for high-quality results using a formal process to measure progress.

Personal Growth: Shares new insights. Facilitates change; models adaptability and an awareness of the impact of change. Utilizes non-threatening methods to address sensitive issues and inappropriate behavior or performance. Has the functional and technical knowledge and skills required to perform well; uses best practices and demonstrates up-to-date knowledge and skills in technology.

QUALIFICATIONS:

  • Must meet qualifications established by the Y in Central Maryland.

  • Good character, professional demeanor, and the ability to follow directions, accept supervision, and communicate clearly.

  • Current enrollment in a high school, college, university, vocational program, or workforce development program.

  • Required to report to the office on designated workdays in accordance with organizational expectations. 

PHYSICAL DEMANDS:

  1. Will be required to walk, stand, kneel, stoop, push, and lift up to 50 pounds.

  2. While performing duties the employee may occasionally work in the outside weather conditions, and is exposed to wet, cold and /or humid conditions.

  3. Must be physically able to work in a hot and humid environment with moderate physical exercise.

  4. Continuous operations requiring attention to detail and multi-tasking.

  5. Will be exposed to cleaning supplies.

  6. Must be able to stand or sit for long periods of time.

  7. Must be physically able to successfully complete required certifications.

  8. Pool safety and instructional equipment, some computer skills required