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Machine Learning Intern Jobs in Eatontown, NJ (NOW HIRING)

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Internship Program

New York, NY

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX ... As an intern, you'll work directly alongside engineers, researchers, and designers who are defining ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline * Strong programming experience in Python with production-level coding quality * Experience with ...

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. * Analyzing ...

Growth Intern

New York, NY · On-site +1

$16.50 - $22/hr

Join N1 as a Growth Intern and contribute to shaping the future of decentralized computing at ... Undergraduate student (or equivalent level) with a strong drive for learning through doing

Instructional Design Intern

Elizabeth, NJ

$15 - $20.25/hr

LEARNING OBJECTIVES: 1. Student will learn how to effectively manage and facilitate educational programs for youth across a wide network. 2. The intern will learn about refugee resettlement issues ...

NYBG Title Reports to Science Intern Various Position Summary: The Science Internship is a ... learning new things. • Good interpersonal skills and willingness to be a team player. • ...

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Pursuing a degree in Computer Science, Machine Learning, Mathematics, Engineering, or related ...

Showing results 41-60

Machine Learning Intern information

See Eatontown, NJ salary details

$25.7K

$42.9K

$88.7K

How much do machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning intern in Eatontown, NJ is $42,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,300.00 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 are the most commonly searched types of Machine Learning jobs in Eatontown, NJ? The most popular types of Machine Learning jobs in Eatontown, NJ are:
What job categories do people searching Machine Learning Intern jobs in Eatontown, NJ look for? The top searched job categories for Machine Learning Intern jobs in Eatontown, NJ are:
What cities near Eatontown, NJ are hiring for Machine Learning Intern jobs? Cities near Eatontown, NJ with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Eatontown, NJ as of August 2026, with employment types broken down into 11% Internship, 40% Full Time, 25% Part Time, and 24% Temporary. Highlights an 100% In-person job distribution, with an average salary of $42,906 per year, or $20.6 per hour.

Lifelong Learning - ACUHO-I Intern

Wagner College

Staten Island, NY

$3.0K/wk

Part-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

Required Qualifications: 

  • Residential life, conferences and/or student affairs experience and/or hotel operations and guest management experience
  • Strong organizational and interpersonal skills
  • Demonstrated leadership experience 
  • Problem solving expertise
  • High level of responsibility and energy 
  • Experience working with college students
  • Desire to gain an extensive experience in residential facilities management and customer service 
  • A customer service attitude 
  • Interest in working with a variety of individuals from different cultures and experiences 

Preferred Qualifications

  • Interest in operations and customer service 
  • Experience supervising young students
  • Supervisory experience
  • Experience in organizing large amounts of data utilizing the google drive primarily
  • Training in cultural competence Interest in operations and customer service
  • Accepted into a graduate program

Appointment Period:

  • The preferred dates are from the first week of June until the 1st week of August. Priority consideration may be given to those who can stay through the 2nd week of August, but understandably dates are flexible. 
  • Training and preliminary online orientation may begin in late April or mid/late May.

Job Responsibilities

  • Work collaboratively with Residential Education and Lifelong Learning, including communicating and responding to guest concerns promptly and accurately 
  • Supervise the Conference Assistant team, including managing payroll and work schedules 
  • Maintains room assignments for summer conference groups in collaboration with Residential Education
  • Create and manage a conference schedule, including but not limited to: room set-up and breakdown, laundry service, room changeovers, reports of customer complaints, and other building and staffing issues that arise
  • Oversee the coordination by the Conference Assistant staff of linen packet preparation for summer guests and the organization of the linen supply rooms to ensure quality control of linens, returns of linens from laundry service, and all other supplies in a neat and orderly fashion 
  • Act as the first contact for conference workers in problem solving process
  • Organize the check-in & check-out procedures, including managing key & coordinating with Office of Public Safety and Dining Services in assigning rooms and meal plans to guests with assigned ID #'s created by IT
  • Be present along with at least one professional staff member at all check-in and check-out for conference guests (this includes some weekend work) Schedules can be coordinated between 2 interns
  • Keep custodial staff updated on occupancy and cleaning schedule(s) 
  • Coordinate the linen exchange process to include removal of soiled linens, pick-up and delivery of linens, and linen inventory 
  • Record and report all damages in residence halls to both departments 
  • Assist in ensuring the health and safety of all guests by following site medical protocols 
  • Serve as a mandated reporter & reports all violations to Director of Residential Education
  • Attend weekly staff meetings with Lifelong Learning as well as Residential Education to ensure extensive knowledge of residential operations 
  • Assist with Lifelong Learning campus events in June as available and needed
  • Complete projects for Residential Education, Lifelong Learning, and/or the Division of Campus Life in interest areas (pending time availability)
  • Oversee the final return all cleaned linen inventory and supplies to the respective linen storage areas at the conclusion of the summer conferences program and final inventory counts

The intern is supervised by both the Director for the Department for Lifelong Learning and the Director of Residential Education. Management reserves the right to change position duties in accordance to office/department/institution needs. 

Compensation: 

The intern will receive a $3,000 stipend for the summer. The intern is also provided living accommodations in an on-campus room, location to be determined.  In addition to the use of a campus shuttle that runs from the campus to the Staten Island Ferry, the intern will receive a subway card equivalent to 10 rides for their enjoyment and exploration of NYC. Finally, the intern will receive a full meal plan for the duration of their employment at the college. 

Wagner College, founded in 1883, seamlessly blends professional programs with a liberal arts grounding for a comprehensive, experiential-forward education that fosters well-rounded, adaptable graduates. The college's verdant residential campus offers a traditional college experience on New York City's Staten Island.


Wagner prides itself on robust student support services, including personalized academic advising, comprehensive career counseling, and a wide array of wellness programs. Students are prepared not only for professional success but also for meaningful lives through the faculty's dedication to promoting scholarship, achievement, leadership and citizenship.


Wagner College offers a generous benefit package that includes medical, dental, vision, pension and paid time off benefits to all full-time employees. The Wagner College Office of Human Resources partners with all members of the College community to cultivate a work environment that values equal opportunity, diversity equity inclusion and access, professional development and individual excellence.


Wagner College provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national or ethnic origin, sexual orientation, gender identity or expression, marital status, age, disability or genetics. In addition to federal law requirements, Wagner College complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.