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Machine Learning Software Engineer Intern Jobs in Hightstown, NJ

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Our ML team is full of people with a shared love for the craft of software engineering, and for ...

Akasa, Inc

Sr. Software Engineer, Backend

New York, NY · On-site

$120/hr

You will work closely with the product, design, and machine learning teams to design and build ... Software engineering experience in Python is required * Proven track record with SaaS products

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... machine-learning software systems * Proven experience owning ML systems long enough to see the ...

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic ...

New York University

Software Engineer

New York, NY

Recent advances in machine learning, including Large Language Models and diffusion based generative ... The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Hightstown, NJ

Machine Learning Software Engineer Intern information

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for machine learning software engineer intern in Hightstown, NJ is $25.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $28.94 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.
What cities near Hightstown, NJ are hiring for Machine Learning Software Engineer Intern jobs? Cities near Hightstown, NJ with the most Machine Learning Software Engineer Intern job openings:
Machine Learning Software Engineer Intern jobs near you

Machine Learning Engineer

Jane Street

New York, NY • On-site

Full-time

Re-posted 5 days ago

Job description

We are looking for an engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Our ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use. 

We'll rely on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so we apply the right tool for the problem at hand. Your work will also focus on enhancing research workflows to tighten our feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. While there isn't a fixed list of qualifications we're looking for, if you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. 

We're looking for someone with:

  • Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
  • A strong mathematical background; Good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
  • A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
  • A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
  • Expertise wrangling an ML framework - we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow, or others
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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