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Machine Learning Developer Intern Jobs in Lakewood, NJ

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... machining, and material handling. * Provide technical and sustaining engineering support within ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

... machining, and material handling. * Provide technical and sustaining engineering support within ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

ABOUT THE POSITION VHB's Civil Engineering Internship is designed to introduce students into the ... The intern program is designed to round out participants' academic learning with real world ...

Overview ABOUT THE POSITION VHB's Civil Engineering Internship is designed to introduce students ... The intern program is designed to round out participants' academic learning with real world ...

Overview ABOUT THE POSITION VHB's Civil Engineering Internship is designed to introduce students ... The intern program is designed to round out participants' academic learning with real world ...

Overview ABOUT THE POSITION VHB's Civil Engineering Internship is designed to introduce students ... The intern program is designed to round out participants' academic learning with real world ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Experience with Azure OpenAI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services * Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release ...

New

Development & Fundraising Intern

East Brunswick, NJ · On-site

$15 - $20/hr

Development & Fundraising Intern Headquater 754 Rt 18 - East Brunswick, NJ 08816 Overview Salary ... Mentorship and coaching from experienced fund developers * Internship credit (if applicable) and a ...

We are now looking for a senior HPC software engineer. As a member of our the High Performance ... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ...

Their patented platform uses machine learning-based AI for cyber security and protection against ... Lead and manage a team of 12+ (and growing) software engineers/programmers. Keep projects on track ...

Their patented platform uses machine learning-based AI for cyber security and protection against ... Lead and manage a team of 12+ (and growing) software engineers/programmers. Keep projects on track ...

Their patented platform uses machine learning-based AI for cyber security and protection against ... Lead and manage a team of 12+ (and growing) software engineers/programmers. Keep projects on track ...

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Machine Learning Developer Intern information

See Lakewood, NJ salary details

$25.1K

$42K

$86.7K

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

As of Aug 20, 2026, the average yearly pay for machine learning developer intern in Lakewood, NJ is $41,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,300.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Lakewood, NJ are hiring for Machine Learning Developer Intern jobs?

Cities near Lakewood, NJ with the most Machine Learning Developer Intern job openings:

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Re-posted 14 days ago


Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.