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Startup Machine Learning Intern Jobs in Chester, NJ

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Data Scientist Intern -- Concord AdviceSummary Concord Advice is a dynamic fintech company ... Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps ...

Data Scientist Intern

Florham Park, NJ · On-site

$50 - $70/hr

BA/MS in business related fields with a focus on machine learning. * Familiarity with Azure cloud platform and experience using Azure services to support data science, machine learning, analytics ...

Title: Senior Data Scientist for a Stanford Startup Location: Princeton, NJ Full Time Job ... Strong experience in machine learning * Highly conversant with Bayesian type algorithms, KNN ...

Title: Senior Data Scientist for a Stanford Startup Location: Princeton, NJ Full Time Job ... Strong experience in machine learning * Highly conversant with Bayesian type algorithms, KNN ...

... startup company located in Princeton, NJ started by the alumni of Stanford University and University of Pennsylvania, with strong expertise in Data Analytics and Machine Learning. We are today ...

... startup company located in Princeton, NJ started by the alumni of Stanford University and University of Pennsylvania, with strong expertise in Data Analytics and Machine Learning. We are today ...

Showing results 21-40

Startup Machine Learning Intern information

See Chester, NJ salary details

$27K

$45.1K

$93.2K

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

As of Sep 4, 2026, the average yearly pay for startup machine learning intern in Chester, NJ is $45,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,700.00 per year, depending on experience, location, and employer.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

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

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

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

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

Infographic showing various Startup Machine Learning Intern job openings in Chester, NJ as of June 2026, with employment types broken down into 66% Full Time, 28% Part Time, 3% Temporary, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $45,102 per year, or $21.7 per hour.

Senior Data Scientist for a Startup

SRP Systems Inc

Princeton, NJ

Contractor

Re-posted 28 days ago


Job description

Company Description

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton (UPenn).

Job Description

Title: Senior Data Scientist for a Startup

Location: Princeton, NJ

Full Time

Job Requirements:

  • A minimum of three years of experience working as a data scientist
  • Experience in working with large data sets
  • Strong experience in machine learning
  • Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc
  • Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary
  • Data cleanup, and data massaging experience
  • Hands-on experience with Python / R type languages
  • Any experience in doing well at Kaggle type competitions is a big plus
  • PhD is a big plus
Additional Information

This is a Full time project