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

THOMSON REUTERS

Applied Scientist Intern

New York, NY · On-site

$16.50 - $22/hr

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs is seeking a ML/NLP scientist intern with a passion for problem-solving using ...

Ross Stores

Winternship 2027 - NYBO

New York, NY · On-site

$22/hr

You'll gain hands-on experience in the office and in the market, learning what it takes to buy ... Assistant Buyer Intern * Observe the administrative and operational functions supporting a ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Bayonne, NJ

Machine Learning Intern information

See Bayonne, NJ salary details

$25.8K

$43K

$89K

How much do machine learning intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning intern in Bayonne, NJ is $43,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,500.00 per year, depending on experience, location, and employer.

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 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 Bayonne, NJ look for?

The top searched job categories for Machine Learning Intern jobs in Bayonne, NJ are:

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

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

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Bayonne, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,043 per year, or $20.7 per hour.

Machine Learning Expert

Adidev Technologies Inc

Jersey City, NJ

Full-time

Re-posted 26 days ago

Key responsibilities

  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

Job description

Role  - Machine Learning Expert 

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

 

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

 

  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements:

  • Degree in Computer Science, Engineering, Statistics, or a related technical field.

  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

  • Strong foundational understanding of algorithmic complexity and data structure optimization.

  • Excellent problem-solving, collaboration, and communication abilities.

  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.


How to Apply:

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond!

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

We provide support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

 

Ready to Embark? 

We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

 

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME

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